Embedded newform data - 1764.2.b.l.1567.1

Formats: - HTML - YAML - JSON - 2025-10-02T05:37:12.521791

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 7056, 'analytic_conductor': 14.08561091655386, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 28, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [1764, 2, [883, 785, 1081], [1, 2, 1]], 'cm_discs': [], 'conrey_index': 1567, 'dim': 12, 'field_disc': 15911316233388032, 'field_disc_factorization': [[2, 33], [1361, 2]], 'field_poly': [64, -128, 160, -160, 140, -112, 84, -56, 35, -20, 10, -4, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [8, 0, 528, 0, 2428, 0, 2096, 0, 446, 0, 36, 0, 1]], [11, [1968128, 0, 1962496, 0, 603920, 0, 72672, 0, 4040, 0, 104, 0, 1]], [19, [-256, -1280, 1288, 32, -72, 0, 1]], [29, [9544, 1440, -2268, -592, 26, 16, 1]], [53, [-256, -384, 144, 288, 24, -16, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539664654108388, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 28, 4, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1764.2.b.l', 'level': 1764, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '588.2.b.c', 'nf_label': '12.0.15911316233388032.1', 'prim_orbit_index': 4, 'qexp_display': 'q-\\beta _{1}q^{2}+(\\beta _{5}+\\beta _{6})q^{4}+(1-\\beta _{1}+\\beta _{6}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1764.2.b', 'trace_display': [-4, 0, 0, 0], 'trace_hash': 210797980545919060, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.156', 'prec': 20}, {'__RealLiteral__': 0, 'data': '3.681', 'prec': 17}, {'__RealLiteral__': 0, 'data': '586.005', 'prec': 24}, {'__RealLiteral__': 0, 'data': '836.158', 'prec': 24}, {'__RealLiteral__': 0, 'data': '52177.466', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.526', 'prec': 17}, 'traces': [12, -4, 0, -4, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -24, 0, 0, 0, 0, -12, 24, 0, 0, -32, 0, -16, -4, 0, -32, 0, 0, 32, -24, 0, 32, 0, 0, 0, 24, 0, 24, 0, 0, 0, 28, 0, -32, 32, 0, -16, 0, 0, 16, -16, 0, 0, 8, 0, -4, 0, 0, 0, -8, 0, 0, 0, 0, 0, 32, 0, 32, 0, 0, 0, -16, 0, -32, -16, 0, 16, 24, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 16, -64, 0, -24, 0, 0, 16, 40, 0, 0, 64, 0, 80, -32, 0, -48, 0, 0, -76, -56, 0, 16, 0, 0, 0, 52, 0, 0, 16, 0, 0, 32, 0, -16, -64, 0, 80, 0, 0, -32, 32, 0, 0, 24, 0, -72, 32, 0, 0, -40, 0, 0, 0, 0, 0, 56, 0, -16, 0, 0, 0, -16, 0, 16, 32, 0, -28, -16, 0, -40, 0, 0, 0, -96, 0, -32, 0, 0, 0, 0, 0, 48, 0, 0, -80, -8, 0, 72, 0, 0, -48, -24, 0, 0, 24, 0, 0, -100, 0, -16, 0, 0, -8, 8, 0, 32, 0, 0, 0, -24, 0, 56, -32, 0, 0, -8, 0, -64, 8, 0, 0, 0, 0, -16, -80, 0, 0, 8, 0, 16, -64, 0, 0, -8, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 40, 0, -32, -80, 0, -16, -48, 0, -60, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, -16, 32, 0, 64, 0, 0, -24, 32, 0, 0, -32, 0, 32, -24, 0, -16, 0, 0, -28, 24, 0, -32, 0, 0, 0, 0, 0, 56, 64, 0, 0, 88, 0, 32, -32, 0, 32, 0, 0, 88, 192, 0, 0, 16, 0, 8, 40, 0, 0, 40, 0, 0, 0, 0, 0, 48, 0, -16, 0, 0, 0, 16, 0, 48, 192, 0, 0, -92, 0, -72, 0, 0, 0, -72, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 48, 120, 0, 16, 0, 0, 60, -128, 0, 0, -88, 0, -32, -56, 0, 64, 0, 0, 48, 168, 0, 0, 0, 0, 0, -24, 0, -80, -160, 0, 0, -24, 0, 32, 64, 0, -16, 0, 0, -64, 0, 0, 0, -96, 0, -4, -96, 0, 0, 80, 0, 0, 0, 0, 0, -40, 0, -64, 0, 0, 0, 40, 0, 64, 16, 0, -8, -112, 0, 24, 0, 0, 0, -32, 0, 16, 0, 0, 0, 0, 0, -112, 0, 0, 32, 56, 0, -32, 0, 0, 80, 48, 0, 0, 96, 0, 208, 32, 0, 160, 0, 0, -32, -32, 0, -176, 0, 0, 0, 72, 0, 128, -80, 0, 0, 152, 0, 144, -64, 0, 128, 0, 0, -72, 32, 0, 0, 16, 0, -36, 104, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, -112, 0, 0, 0, -24, 0, 80, 0, 0, 112, 8, 0, 0, 0, 0, 0, 68, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, -176, -48, 0, 16, 0, 0, -156, -112, 0, 0, 64, 0, -240, -128, 0, 96, 0, 0, -32, 40, 0, 48, 0, 0, 0, 80, 0, 72, 160, 0, 0, 32, 0, 32, 56, 0, -256, 0, 0, -48, -144, 0, 0, -56, 0, -24, -160, 0, 0, -56, 0, 0, 0, 0, 0, 28, 0, 96, 0, 0, 0, -64, 0, -48, -80, 0, -128, 136, 0, -96, 0, 0, 0, -56, 0, 64, 0, 0, 0, 0, 0, -8, 0, 0, 224, 168, 0, -32, 0, 0, 48, -56, 0, 0, -64, 0, -48, -120, 0, -80, 0, 0, 28, -40, 0, -64, 0, 0, 0, -72, 0, -112, 160, 0, 0, -24, 0, 64, -96, 0, 0, 0, 0, -72, 64, 0, 0, -144, 0, -192, 96, 0, 0, 200, 0, 0, 0, 0, 0, 48, 0, 80, 0, 0, 0, -56, 0, -80, -96, 0, 48, 80, 0, 140, 0, 0, 0, 144, 0, 32, 0, 0, 0, 0, 0, -56, 0, 0, 176, 40, 0, -88, 0, 0, -48, 16, 0, 0, -192, 0, -64, 152, 0, 112, 0, 0, 208, -104, 0, 0, 0, 0, 0, 40, 0, -72, -64, 0, 0, 44, 0, -16, 136, 0, -48, 0, 0, 80, 0, 0, 0, 80, 0, 152, -128, 0, 0, -152, 0, 0, 0, 0, 0, -128, 0, -112, 0, 0, 0, -88, 0, 112, -96, 0, 16, -16, 0, -40, 0, 0, 0, -104, 0, -32, 0, 0, 0, 0, 0, 120, 0, 0, -176, -192, 0, 160, 0, 0, 208, 8, 0, 0, -24, 0, -112, -16, 0, 32, 0, 0, 24, 72, 0, 0, 0, 0, 0, 36, 0, -16, -64, 0, 0, -136, 0, -112, 56, 0, -208, 0, 0, 56, -160, 0, 0, 120, 0, 128, 248, 0, 0, 40, 0, 0, 0, 0, 0, 96, 0, 64, 0, 0, 0, 32, 0, -160, 32, 0, 60, 32, 0, 48, 0, 0, 0, 104, 0, -112, 0, 0, 0, 0, 0, 144, 0, 0, 32, -64, 0, -144, 0, 0, 72, 144, 0, 0, 128, 0, -160, 40, 0, -224, 0, 0, 80, -96, 0, 0, 0, 0, 0, -96, 0, -32, 32, 0, 0, -96, 0, -16, 128, 0, 80, 0, 0, -16, -128, 0, 0, -56, 0, -96, -72, 0, 0, -72, 0, 0, 0, 0, 0, -16, 0, 80, 0, 0, 0, 168, 0, 96, -32, 0, -24, 48, 0, 72, 0, 0, 0, -32, 0, -128, 0, 0, 0, 0, 0, -200, 0, 0, 112, 72, 0, 32, 0, 0, -160, -104, 0, 0, 88, 0, -144, 80, 0, 48, 0, 0, -20, 104, 0, 0, 0, 0, 0, -68, 0, -128, 112, 0, 0, -120, 0, -80, -128, 0, -16, 0, 0, 56, -160, 0, 0, -72, 0, 248, 160, 0, 0, 8, 0, 0, 0, 0, 0, -200, 0, -112, 0, 0, 0, 24, 0, -96, -64, 0, -40, -88, 0, 24, 0, 0, 0, -80, 0, 224, 0, 0, 0, 0, 0, 36, 0, 0, -96, -16, 0, 168, 0, 0, -80, 224, 0, 0, -136, 0, 224, 200, 0, 112, 0, 0, 32, 16, 0, 0, 0, 0, 0, -120, 0, 72, 0, 0, 0, 44, 0, 80, 0, 0, 16, 0, 0, 72, 96, 0, 0, 232, 0, 16, 88, 0, 0, 16, 0, 0, 0, 0, 0, 56, 0, 144, 0, 0, 0, 88, 0, -80, 112, 0, -96, -168, 0, -192, 0, 0, 0, 192, 0, 192, 0, 0, 0, 0, 0, -144, 0, 0, -144, -240, 0, -160, 0, 0, 144, -128, 0, 0, 128, 0, -80, 32, 0, -128, 0, 0, -80, 16, 0, 304, 0, 0, 0, -32, 0, -48, -160, 0, 0, -24, 0, 208, -184, 0, 128, 0, 0, -80, -32, 0, 0, 96, 0, -28, 216, 0, 0, -200, 0, 0, 0, 0, 0, -144, 0, 176, 0, 0, 0, -32, 0, 112, -160, 0, -80, 48, 0, -56, 0, 0, 0, 24, 0, 128, 0, 0, 0, 0, 0, -104, 0, 0, 16, 88, 0, 80, 0, 0, -48, 184, 0, 0, 32, 0, 80, 24, 0, -352, 0, 0, -128, -96, 0, 32, 0, 0, 0, 48, 0, 40, 0, 0, 0, 120, 0, -224, 224, 0, -32, 0, 0, -64, -128, 0, 0, -64, 0, 24, -128, 0, 0, 104, 0, 0, 0, 0, 0, 4, 0, 64, 0, 0, 0, 24, 0, -272, -176, 0, -160, 240, 0, 248, 0, 0, 0, 192, 0, -80, 0, 0, 0, 0, 0, 184, 0, 0, 192, -64, 0, -80, 0, 0, 232, 104, 0, 0, 32, 0, 64, 120, 0, -160, 0, 0, -160, -224, 0, 96, 0, 0, 0, 176, 0, -16, 240, 0, 0, -144, 0, -112, -40, 0, -208, 0, 0, 256, 32, 0, 0, 48, 0, 16, -64, 0, 0, -128, 0, 0, 0, 0, 0, -344, 0, -144, 0, 0, 0, -272, 0, 96, 96, 0, -112, 24, 0, 24, 0, 0, 0, -12, 0, -352, 0, 0, 0, 0, 0, 64, 0, 0, 96, -240, 0, -144, 0, 0, 156, -120, 0, 0, 0, 0, 256, 88, 0, 176, 0, 0, 48, -176, 0, -80, 0, 0, 0, 192, 0, 32, 96, 0, 0, -88, 0, -192, -128, 0, 304, 0, 0, 64, 192, 0, 0, 112, 0, -200, -56, 0, 0, 16, 0, 0, 0, 0, 0, -24, 0, 64, 0, 0, 0, -48, 0, -64, 112, 0, 192, 56, 0, -120, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, -272, -24, 0, -168, 0, 0, -240, 24, 0, 0, 288, 0, 64, 0, 0, -16, 0, 0, -112, 128, 0, -80, 0, 0, 0, -336, 0, 64, -272, 0, 0, -160, 0, -48, -128, 0, -32, 0, 0, -160, -64, 0, 0, 32, 0, 64, 0, 0, 0, -200, 0, 0, 0, 0, 0, 112, 0, 288, 0, 0, 0, 264, 0, 144, -128, 0, 136, 24, 0, 272, 0, 0, 0, 88, 0, 96, 0, 0, 0, 0, 0, -8, 0, 0, 144, 160, 0, 216, 0, 0, -96, 64, 0, 0, -256, 0, 64, 40, 0, 32, 0, 0, 192, 232, 0, 272, 0, 0, 0, -208, 0, -168, 160, 0, 0, -216, 0, 288, 184, 0, 144, 0, 0, 104, 272, 0, 0, 48, 0, 160, -224, 0, 0, 48, 0, 0, 0, 0, 0, -152, 0, -288, 0, 0, 0, 272, 0, -48, 480, 0, 272, -56, 0, 132, 0, 0, 0, 32, 0, 192, 0, 0, 0, 0, 0, -136, 0, 0, -64, 40, 0, -40, 0, 0, -224, 96, 0, 0, -120, 0, -160, 184, 0, 176, 0, 0, 16, 208, 0, -256, 0, 0, 0, -88, 0, -80, -256, 0, 0, -40, 0, -32, -192, 0, 0, 0, 0, -232, 352, 0, 0, 8, 0, -64, -320, 0, 0, 176, 0, 0, 0, 0, 0, 24, 0, -224, 0, 0, 0, 264, 0, -192, 256, 0, 36, 92, 0, -16, 0, 0, 0, 112, 0, 240, 0, 0, 0, 0, 0, -152, 0, 0, 16, -48, 0, -216, 0, 0, -192, -192, 0, 0, -64, 0, 224, 8, 0, -160, 0, 0, -152, -72, 0, 16, 0, 0, 0, -72, 0, -152, -384, 0, 0, -32, 0, 208, 32, 0, 112, 0, 0, -64, 384, 0, 0, -16, 0, 248, -216, 0, 0, -240, 0, 0, 0, 0, 0, -152, 0, 176, 0, 0, 0, -280, 0, 224, 256, 0, 56, 8, 0, 112, 0, 0, 0, 216, 0, -224, 0, 0, 0, 0, 0, 168, 0, 0, -176, 80, 0, 192, 0, 0, -72, -88, 0, 0, 128, 0, 208, 48, 0, -32, 0, 0, -80, 16, 0, -176, 0, 0, 0, -96, 0, -40, 48, 0, 0, 120, 0, -96, 96, 0, 208, 0, 0, 240, -224, 0, 0, -304, 0, -48, 32, 0, 0, 296, 0, 0, 0, 0, 0, 24, 0, 112, 0, 0, 0, -376, 0, -144, -64, 0, 36, 280, 0, -64, 0, 0, 0, 240, 0, -192, 0, 0, 0, 0, 0, -32, 0, 0, -400, 392, 0, -392, 0, 0, 8, -104, 0, 0, -184, 0, -112, 120, 0, 96, 0, 0, -40, -200, 0, -16, 0, 0, 0, 16, 0, -104, 320, 0, 0, 88, 0, -144, 64, 0, -144, 0, 0, 72, 336, 0, 0, 24, 0, -192, -256, 0, 0, 24, 0, 0, 0, 0, 0, -132, 0, -160, 0, 0, 0, -216, 0, 256, -112, 0, 40, -144, 0, 92, 0, 0, 0, 32, 0, -272, 0, 0, 0, 0, 0, 40, 0, 0, 128, 56, 0, 192, 0, 0, 192, -168, 0, 0, -192, 0, -224, -96, 0, 272, 0, 0, 48, -64, 0, 144, 0, 0, 0, 216, 0, 176, -112, 0, 0, -232, 0, -48, -96, 0, -144, 0, 0, 32, 32, 0, 0, 176, 0, -40, 0, 0, 0, 152], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.40615341554707024, -0.21672816469417122, -0.4018943449736017, -0.41664129639019876, -0.4217224310990756, -0.3208734426537186, -0.3311732395267279, -0.46245263783827895, -0.4004670873117751, 0.04534954678099117], 'char_orbit_index': 2, 'conrey_index': 1567, 'dual_conrey_index': 1567, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.4244418163489219, 'embedding_root_real': 1.3490178444091938, 'hecke_orbit': 12, 'hecke_orbit_code': 49539664654108388, 'label': '1764.2.b.l.1567.1', 'level': 1764, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 7056, 'analytic_conductor': 14.08561091655386, 'char_conductor': 28, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [1764, 2, [883, 785, 1081], [1, 2, 1]], 'conrey_index': 1567, 'cusp_dim': 304, 'dim': 96, 'eis_dim': 64, 'eis_new_dim': 8, 'hecke_cutter_primes': [5, 11, 19, 29, 53], 'hecke_orbit_code': 68753032932, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 4, 4, 4, 8, 8, 8, 12, 12, 16], 'label': '1764.2.b', 'level': 1764, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 368, 'mf_new_dim': 104, 'num_forms': 14, 'prim_orbit_index': 4, 'relative_dim': 96, 'sturm_bound': 672, 'trace_bound': 50, 'trace_display': [-4, 0, 0, 0], 'traces': [96, -4, 0, 4, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -20, 0, 0, -68, 0, 0, 0, -16, 0, 0, -4, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 24, 0, 28, 0, 0, 0, 56, 0, 0, 20, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 52, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, -36, 0, -64, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 28, 0, 0, -12, 0, 0, 0, 64, 0, 0, 16, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 164, 0, -88, 0, 0, 0, 112, 0, 0, -68, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 72, -4, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, -196, 0, -16, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -4, 0, 0, 100, 0, 0, 0, -56, 0, 0, -68, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 136, 0, 204, 0, 0, 0, 80, 0, 0, 128, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 40, -52, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, -140, 0, 28, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -108, 0, 0, -12, 0, 0, 0, 128, 0, 0, 168, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 80, 0, 44, 0, 0, 0, -28, 0, 0, -236, 0, 0, 0, 0, 244, 0, 0, 0, 0, 0, -40, -68, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, -16, 0, -104, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -196, 0, 0, 76, 0, 0, 0, -188, 0, 0, -80, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 8, 0, -156, 0, 0, 0, -24, 0, 0, 44, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, -92, 124, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, -232, 0, 120, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 24, 0, 0, -180, 0, 0, 0, 240, 0, 0, 32, 0, 0, 0, 0, 220, 0, 0, 0, 0, 0, 0, 208, 0, 188, 0, 0, 0, 220, 0, 0, 72, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -100, 144, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -100, -124, 0, 120, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -156, 0, 0, 156, 0, 0, 0, -320, 0, 0, -88, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 112, 0, 304, 0, 0, 0, 224, 0, 0, 340, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 176, -140, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 156, 0, -288, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 36, 0, 0, 228, 0, 0, 0, 160, 0, 0, -192, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, -200, 0, -452, 0, 0, 0, 208, 0, 0, -396, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, -48, -108, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -352, 124, 0, -260, 0, 0, 0, 280, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 196, 0, 0, -24, 0, 0, 0, -392, 0, 0, 272, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 128, 0, 244, 0, 0, 0, -68, 0, 0, -24, 0, 0, 0, 0, -260, 0, 0, 0, 0, 0, 152, -4, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, -196, 0, 592, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, -28, 0, 0, -280, 0, 0, 0, 180, 0, 0, -184, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 148, 0, -108, 0, 0, 0, -284, 0, 0, 172, 0, 0, 0, 0, 284, 0, 0, 0, 0, 0, 232, 68, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, -28, 0, -336, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 268, 0, 0, 52, 0, 0, 0, -180, 0, 0, 200, 0, 0, 0, 0, 324, 0, 0, 0, 0, 0, 0, -296, 0, -700, 0, 0, 0, -412, 0, 0, 532, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 88, 72, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 640, 412, 0, -168, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -440, 0, 0, 0, 0, 0, -104, 0, 0, -328, 0, 0, 0, 504, 0, 0, -192, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, -452, 0, 544, 0, 0, 0, -208, 0, 0, -516, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, -64, -136, 0, 0, 0, 0, 0, 0, 0, 0, -280, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 47371744
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 1567, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539664654108388, 'target_is_minimal': False, 'target_label': '1764.2.b.l.1567.1', 'target_level': 1764, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47371745
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 391, 'target_dim': 12, 'target_embedding_index': 12, 'target_hecke_orbit_code': 9007268007772748, 'target_is_minimal': True, 'target_label': '588.2.b.c.391.12', 'target_level': 588, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47371746
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 1567, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54043264281478884, 'target_is_minimal': False, 'target_label': '1764.2.b.m.1567.2', 'target_level': 1764, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47371747
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 1567, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043264281478884, 'target_is_minimal': False, 'target_label': '1764.2.b.m.1567.1', 'target_level': 1764, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 47371748
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 391, 'target_dim': 12, 'target_embedding_index': 11, 'target_hecke_orbit_code': 13510867635143244, 'target_is_minimal': True, 'target_label': '588.2.b.d.391.11', 'target_level': 588, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47371749
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 31, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 22518960243081804, 'target_is_minimal': False, 'target_label': '588.2.o.f.31.7', 'target_level': 588, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47371750
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 31, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 18015360615711308, 'target_is_minimal': False, 'target_label': '588.2.o.e.31.7', 'target_level': 588, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47371751
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 19, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 22518960243081804, 'target_is_minimal': False, 'target_label': '588.2.o.f.19.4', 'target_level': 588, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47371752
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 19, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18015360615711308, 'target_is_minimal': False, 'target_label': '588.2.o.e.19.4', 'target_level': 588, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 47371753
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 391, 'target_dim': 12, 'target_embedding_index': 12, 'target_hecke_orbit_code': 13510867635143244, 'target_is_minimal': True, 'target_label': '588.2.b.d.391.12', 'target_level': 588, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 47371754
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 1567, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539664654108388, 'target_is_minimal': False, 'target_label': '1764.2.b.l.1567.2', 'target_level': 1764, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 47371755
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 19, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 18015360615711308, 'target_is_minimal': False, 'target_label': '588.2.o.e.19.7', 'target_level': 588, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '84.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47371756
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 31, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18015360615711308, 'target_is_minimal': False, 'target_label': '588.2.o.e.31.4', 'target_level': 588, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '84.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 47371757
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 31, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 22518960243081804, 'target_is_minimal': False, 'target_label': '588.2.o.f.31.4', 'target_level': 588, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '84.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 47371758
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 19, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 22518960243081804, 'target_is_minimal': False, 'target_label': '588.2.o.f.19.7', 'target_level': 588, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '84.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 47371759
    {'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1567, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539664654108388, 'source_is_minimal': False, 'source_label': '1764.2.b.l.1567.1', 'source_level': 1764, 'target_conrey_index': 391, 'target_dim': 12, 'target_embedding_index': 11, 'target_hecke_orbit_code': 9007268007772748, 'target_is_minimal': True, 'target_label': '588.2.b.c.391.11', 'target_level': 588, 'twist_class_label': '588.2.b.c.391.11', 'twist_class_level': 588, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2188200
    {'charpoly_factorization': [[[64, 128, 160, 160, 140, 112, 84, 56, 35, 20, 10, 4, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 2}
  • id: 2188201
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 49539664654108388, 'p': 3}
  • id: 2188202
    {'charpoly_factorization': [[[8, 0, 528, 0, 2428, 0, 2096, 0, 446, 0, 36, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 5}
  • id: 2188203
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 49539664654108388, 'p': 7}
  • id: 2188204
    {'charpoly_factorization': [[[1968128, 0, 1962496, 0, 603920, 0, 72672, 0, 4040, 0, 104, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 11}
  • id: 2188205
    {'charpoly_factorization': [[[40328, 0, 231280, 0, 261356, 0, 45488, 0, 3094, 0, 92, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 13}
  • id: 2188206
    {'charpoly_factorization': [[[8405000, 0, 5426000, 0, 1170556, 0, 111344, 0, 5182, 0, 116, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 17}
  • id: 2188207
    {'charpoly_factorization': [[[-256, -1280, 1288, 32, -72, 0, 1], 2]], 'hecke_orbit_code': 49539664654108388, 'p': 19}
  • id: 2188208
    {'charpoly_factorization': [[[518162432, 0, 148759040, 0, 15486736, 0, 745504, 0, 18120, 0, 216, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 23}
  • id: 2188209
    {'charpoly_factorization': [[[9544, 1440, -2268, -592, 26, 16, 1], 2]], 'hecke_orbit_code': 49539664654108388, 'p': 29}
  • id: 2188210
    {'charpoly_factorization': [[[-6272, 4032, 776, -416, -56, 8, 1], 2]], 'hecke_orbit_code': 49539664654108388, 'p': 31}
  • id: 2188211
    {'charpoly_factorization': [[[10424, -5568, -4148, 1280, -22, -16, 1], 2]], 'hecke_orbit_code': 49539664654108388, 'p': 37}
  • id: 2188212
    {'charpoly_factorization': [[[84872, 0, 3872656, 0, 2756604, 0, 359408, 0, 14878, 0, 228, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 41}
  • id: 2188213
    {'charpoly_factorization': [[[6422528, 0, 10633216, 0, 3342592, 0, 385792, 0, 17504, 0, 240, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 43}
  • id: 2188214
    {'charpoly_factorization': [[[-62336, 9280, 9144, -160, -192, 0, 1], 2]], 'hecke_orbit_code': 49539664654108388, 'p': 47}
  • id: 2188215
    {'charpoly_factorization': [[[-256, -384, 144, 288, 24, -16, 1], 2]], 'hecke_orbit_code': 49539664654108388, 'p': 53}
  • id: 2188216
    {'charpoly_factorization': [[[256, 768, 184, -736, -144, 8, 1], 2]], 'hecke_orbit_code': 49539664654108388, 'p': 59}
  • id: 2188217
    {'charpoly_factorization': [[[7688, 0, 206064, 0, 681324, 0, 245552, 0, 11574, 0, 188, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 61}
  • id: 2188218
    {'charpoly_factorization': [[[8388608, 0, 156237824, 0, 57819136, 0, 3080192, 0, 59648, 0, 448, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 67}
  • id: 2188219
    {'charpoly_factorization': [[[4917248, 0, 9593344, 0, 5741840, 0, 1007328, 0, 29000, 0, 296, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 71}
  • id: 2188220
    {'charpoly_factorization': [[[19046792, 0, 36105776, 0, 13724652, 0, 1446512, 0, 43158, 0, 396, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 73}
  • id: 2188221
    {'charpoly_factorization': [[[1038221312, 0, 811810816, 0, 104620288, 0, 4009728, 0, 63584, 0, 432, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 79}
  • id: 2188222
    {'charpoly_factorization': [[[82432, 71424, 8928, -1472, -208, 8, 1], 2]], 'hecke_orbit_code': 49539664654108388, 'p': 83}
  • id: 2188223
    {'charpoly_factorization': [[[146068232, 0, 737059664, 0, 78033532, 0, 2963696, 0, 49790, 0, 372, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 89}
  • id: 2188224
    {'charpoly_factorization': [[[1057448072, 0, 582577072, 0, 92381420, 0, 4243440, 0, 75094, 0, 492, 0, 1], 1]], 'hecke_orbit_code': 49539664654108388, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 2, 'hecke_orbit': 12, 'label': '1764.2.b.l', 'level': 1764, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 56809255
    {'hecke_orbit_code': 49539664654108388, 'n': 1, 'trace_an': 12}
  • id: 56809256
    {'hecke_orbit_code': 49539664654108388, 'n': 2, 'trace_an': -4}
  • id: 56809257
    {'hecke_orbit_code': 49539664654108388, 'n': 3, 'trace_an': 0}
  • id: 56809258
    {'hecke_orbit_code': 49539664654108388, 'n': 4, 'trace_an': -4}
  • id: 56809259
    {'hecke_orbit_code': 49539664654108388, 'n': 5, 'trace_an': 0}
  • id: 56809260
    {'hecke_orbit_code': 49539664654108388, 'n': 6, 'trace_an': 0}
  • id: 56809261
    {'hecke_orbit_code': 49539664654108388, 'n': 7, 'trace_an': 0}
  • id: 56809262
    {'hecke_orbit_code': 49539664654108388, 'n': 8, 'trace_an': -4}
  • id: 56809263
    {'hecke_orbit_code': 49539664654108388, 'n': 9, 'trace_an': 0}
  • id: 56809264
    {'hecke_orbit_code': 49539664654108388, 'n': 10, 'trace_an': 0}
  • id: 56809265
    {'hecke_orbit_code': 49539664654108388, 'n': 11, 'trace_an': 0}
  • id: 56809266
    {'hecke_orbit_code': 49539664654108388, 'n': 12, 'trace_an': 0}
  • id: 56809267
    {'hecke_orbit_code': 49539664654108388, 'n': 13, 'trace_an': 0}
  • id: 56809268
    {'hecke_orbit_code': 49539664654108388, 'n': 14, 'trace_an': 0}
  • id: 56809269
    {'hecke_orbit_code': 49539664654108388, 'n': 15, 'trace_an': 0}
  • id: 56809270
    {'hecke_orbit_code': 49539664654108388, 'n': 16, 'trace_an': -4}
  • id: 56809271
    {'hecke_orbit_code': 49539664654108388, 'n': 17, 'trace_an': 0}
  • id: 56809272
    {'hecke_orbit_code': 49539664654108388, 'n': 18, 'trace_an': 0}
  • id: 56809273
    {'hecke_orbit_code': 49539664654108388, 'n': 19, 'trace_an': 0}
  • id: 56809274
    {'hecke_orbit_code': 49539664654108388, 'n': 20, 'trace_an': -24}
  • id: 56809275
    {'hecke_orbit_code': 49539664654108388, 'n': 21, 'trace_an': 0}
  • id: 56809276
    {'hecke_orbit_code': 49539664654108388, 'n': 22, 'trace_an': 0}
  • id: 56809277
    {'hecke_orbit_code': 49539664654108388, 'n': 23, 'trace_an': 0}
  • id: 56809278
    {'hecke_orbit_code': 49539664654108388, 'n': 24, 'trace_an': 0}
  • id: 56809279
    {'hecke_orbit_code': 49539664654108388, 'n': 25, 'trace_an': -12}
  • id: 56809280
    {'hecke_orbit_code': 49539664654108388, 'n': 26, 'trace_an': 24}
  • id: 56809281
    {'hecke_orbit_code': 49539664654108388, 'n': 27, 'trace_an': 0}
  • id: 56809282
    {'hecke_orbit_code': 49539664654108388, 'n': 28, 'trace_an': 0}
  • id: 56809283
    {'hecke_orbit_code': 49539664654108388, 'n': 29, 'trace_an': -32}
  • id: 56809284
    {'hecke_orbit_code': 49539664654108388, 'n': 30, 'trace_an': 0}
  • id: 56809285
    {'hecke_orbit_code': 49539664654108388, 'n': 31, 'trace_an': -16}
  • id: 56809286
    {'hecke_orbit_code': 49539664654108388, 'n': 32, 'trace_an': -4}
  • id: 56809287
    {'hecke_orbit_code': 49539664654108388, 'n': 33, 'trace_an': 0}
  • id: 56809288
    {'hecke_orbit_code': 49539664654108388, 'n': 34, 'trace_an': -32}
  • id: 56809289
    {'hecke_orbit_code': 49539664654108388, 'n': 35, 'trace_an': 0}
  • id: 56809290
    {'hecke_orbit_code': 49539664654108388, 'n': 36, 'trace_an': 0}
  • id: 56809291
    {'hecke_orbit_code': 49539664654108388, 'n': 37, 'trace_an': 32}
  • id: 56809292
    {'hecke_orbit_code': 49539664654108388, 'n': 38, 'trace_an': -24}
  • id: 56809293
    {'hecke_orbit_code': 49539664654108388, 'n': 39, 'trace_an': 0}
  • id: 56809294
    {'hecke_orbit_code': 49539664654108388, 'n': 40, 'trace_an': 32}
  • id: 56809295
    {'hecke_orbit_code': 49539664654108388, 'n': 41, 'trace_an': 0}
  • id: 56809296
    {'hecke_orbit_code': 49539664654108388, 'n': 42, 'trace_an': 0}
  • id: 56809297
    {'hecke_orbit_code': 49539664654108388, 'n': 43, 'trace_an': 0}
  • id: 56809298
    {'hecke_orbit_code': 49539664654108388, 'n': 44, 'trace_an': 24}
  • id: 56809299
    {'hecke_orbit_code': 49539664654108388, 'n': 45, 'trace_an': 0}
  • id: 56809300
    {'hecke_orbit_code': 49539664654108388, 'n': 46, 'trace_an': 24}
  • id: 56809301
    {'hecke_orbit_code': 49539664654108388, 'n': 47, 'trace_an': 0}
  • id: 56809302
    {'hecke_orbit_code': 49539664654108388, 'n': 48, 'trace_an': 0}
  • id: 56809303
    {'hecke_orbit_code': 49539664654108388, 'n': 49, 'trace_an': 0}
  • id: 56809304
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  • id: 56809305
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  • id: 56809306
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  • id: 56809307
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  • id: 56809308
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  • id: 56809309
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  • id: 56809310
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  • id: 56809311
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  • id: 56809312
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  • id: 56809313
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  • id: 56809314
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  • id: 56809315
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  • id: 56809316
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  • id: 56809317
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  • id: 56809318
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  • id: 56809319
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  • id: 56809320
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  • id: 56809321
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  • id: 56809322
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  • id: 56809323
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  • id: 56809324
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  • id: 56809325
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  • id: 56809326
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  • id: 56809327
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  • id: 56809328
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  • id: 56809329
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  • id: 56809330
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  • id: 56809331
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  • id: 56809332
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  • id: 56809333
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  • id: 56809334
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  • id: 56809335
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  • id: 56809336
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  • id: 56809337
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  • id: 56809338
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  • id: 56809339
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  • id: 56809340
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  • id: 56809341
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  • id: 56809342
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  • id: 56809343
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  • id: 56809344
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  • id: 56809345
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  • id: 56809346
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  • id: 56809347
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  • id: 56809348
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  • id: 56809349
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  • id: 56809350
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  • id: 56809351
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  • id: 56809352
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  • id: 56809353
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  • id: 56809354
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  • id: 56809355
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  • id: 56809356
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  • id: 56809357
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  • id: 56809358
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  • id: 56809359
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  • id: 56809360
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  • id: 56809361
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  • id: 56809362
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  • id: 56809363
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  • id: 56809364
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  • id: 56809365
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  • id: 56809366
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  • id: 56809367
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  • id: 56809368
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  • id: 56809369
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  • id: 56809370
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  • id: 56809371
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  • id: 56809372
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  • id: 56809373
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  • id: 56809374
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  • id: 56809375
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  • id: 56809376
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  • id: 56809377
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  • id: 56809378
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  • id: 56809379
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  • id: 56809380
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  • id: 56809381
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  • id: 56809382
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  • id: 56809383
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  • id: 56809384
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  • id: 56809385
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  • id: 56809386
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  • id: 56809387
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  • id: 56809388
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  • id: 56809389
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  • id: 56809390
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  • id: 56809391
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  • id: 56809392
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  • id: 56809393
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  • id: 56809394
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  • id: 56809395
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  • id: 56809396
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  • id: 56809397
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  • id: 56809398
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  • id: 56809399
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  • id: 56809400
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  • id: 56809401
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  • id: 56809402
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  • id: 56809403
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  • id: 56809404
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  • id: 56809405
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  • id: 56809406
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  • id: 56809407
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  • id: 56809408
    {'hecke_orbit_code': 49539664654108388, 'n': 353, 'trace_an': 0}
  • id: 56809409
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  • id: 56809410
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  • id: 56809411
    {'hecke_orbit_code': 49539664654108388, 'n': 367, 'trace_an': -32}
  • id: 56809412
    {'hecke_orbit_code': 49539664654108388, 'n': 373, 'trace_an': 48}
  • id: 56809413
    {'hecke_orbit_code': 49539664654108388, 'n': 379, 'trace_an': 0}
  • id: 56809414
    {'hecke_orbit_code': 49539664654108388, 'n': 383, 'trace_an': -160}
  • id: 56809415
    {'hecke_orbit_code': 49539664654108388, 'n': 389, 'trace_an': 64}
  • id: 56809416
    {'hecke_orbit_code': 49539664654108388, 'n': 397, 'trace_an': 0}
  • id: 56809417
    {'hecke_orbit_code': 49539664654108388, 'n': 401, 'trace_an': -96}
  • id: 56809418
    {'hecke_orbit_code': 49539664654108388, 'n': 409, 'trace_an': 0}
  • id: 56809419
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  • id: 56809420
    {'hecke_orbit_code': 49539664654108388, 'n': 421, 'trace_an': -8}
  • id: 56809421
    {'hecke_orbit_code': 49539664654108388, 'n': 431, 'trace_an': 0}
  • id: 56809422
    {'hecke_orbit_code': 49539664654108388, 'n': 433, 'trace_an': 0}
  • id: 56809423
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  • id: 56809424
    {'hecke_orbit_code': 49539664654108388, 'n': 443, 'trace_an': 0}
  • id: 56809425
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  • id: 56809426
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  • id: 56809427
    {'hecke_orbit_code': 49539664654108388, 'n': 461, 'trace_an': 0}
  • id: 56809428
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  • id: 56809429
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  • id: 56809430
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  • id: 56809431
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  • id: 56809432
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  • id: 56809433
    {'hecke_orbit_code': 49539664654108388, 'n': 499, 'trace_an': 0}
  • id: 56809434
    {'hecke_orbit_code': 49539664654108388, 'n': 503, 'trace_an': 0}
  • id: 56809435
    {'hecke_orbit_code': 49539664654108388, 'n': 509, 'trace_an': 0}
  • id: 56809436
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  • id: 56809437
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  • id: 56809438
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  • id: 56809439
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  • id: 56809440
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  • id: 56809441
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  • id: 56809442
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  • id: 56809443
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  • id: 56809444
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  • id: 56809445
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  • id: 56809446
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  • id: 56809447
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  • id: 56809448
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  • id: 56809449
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  • id: 56809450
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  • id: 56809451
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  • id: 56809452
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  • id: 56809453
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  • id: 56809454
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  • id: 56809455
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  • id: 56809456
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  • id: 56809457
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  • id: 56809458
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  • id: 56809459
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  • id: 56809460
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  • id: 56809461
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  • id: 56809462
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  • id: 56809463
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  • id: 56809464
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  • id: 56809465
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  • id: 56809466
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  • id: 56809467
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  • id: 56809468
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  • id: 56809469
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  • id: 56809470
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  • id: 56809471
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  • id: 56809472
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  • id: 56809473
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  • id: 56809474
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  • id: 56809475
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  • id: 56809476
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  • id: 56809477
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  • id: 56809478
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  • id: 56809479
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  • id: 56809480
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  • id: 56809481
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  • id: 56809482
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  • id: 56809483
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  • id: 56809484
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  • id: 56809485
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  • id: 56809486
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  • id: 56809487
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  • id: 56809488
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  • id: 56809489
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  • id: 56809490
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  • id: 56809491
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  • id: 56809492
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  • id: 56809493
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  • id: 56809494
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  • id: 56809495
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  • id: 56809496
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  • id: 56809497
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  • id: 56809498
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  • id: 56809499
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  • id: 56809500
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  • id: 56809501
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  • id: 56809502
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  • id: 56809503
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  • id: 56809504
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  • id: 56809505
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  • id: 56809506
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  • id: 56809507
    {'hecke_orbit_code': 49539664654108388, 'n': 967, 'trace_an': 0}
  • id: 56809508
    {'hecke_orbit_code': 49539664654108388, 'n': 971, 'trace_an': 112}
  • id: 56809509
    {'hecke_orbit_code': 49539664654108388, 'n': 977, 'trace_an': -128}
  • id: 56809510
    {'hecke_orbit_code': 49539664654108388, 'n': 983, 'trace_an': -160}
  • id: 56809511
    {'hecke_orbit_code': 49539664654108388, 'n': 991, 'trace_an': 0}
  • id: 56809512
    {'hecke_orbit_code': 49539664654108388, 'n': 997, 'trace_an': 0}