Newform data - 3024.2.r.n

Formats: - HTML - YAML - JSON - 2026-02-20T16:20:24.210778

• 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': 12096, 'analytic_conductor': 24.14676157123519, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 9, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 3, 'char_parity': 1, 'char_values': [3024, 3, [1135, 757, 785, 2593], [3, 3, 1, 3]], 'cm_discs': [], 'conrey_index': 1009, 'dim': 10, 'field_disc': -6095158642368, 'field_disc_factorization': [[-1, 1], [2, 6], [3, 7], [6599, 2]], 'field_poly': [243, -324, 162, -63, 75, -66, 25, -7, 6, -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, [3721, -2196, 3370, -362, 1441, -287, 235, -29, 22, -3, 1]], [11, [11664, -1728, 15052, -4936, 18865, -4501, 1621, -142, 49, -4, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58547963420478416, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 81, 'hecke_ring_index_factorization': [[3, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '3024.2.r.n', 'level': 3024, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '504.2.r.f', 'nf_label': '10.0.6095158642368.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(1+\\beta _{1}+\\beta _{7})q^{5}+\\beta _{1}q^{7}+(-\\beta _{1}+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3024.2.r', 'trace_display': [0, 0, 3, -5], 'trace_hash': 181844521686915744, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.001', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.199', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '349.671', 'prec': 24}, {'__RealLiteral__': 0, 'data': '24.792', 'prec': 20}, {'__RealLiteral__': 0, 'data': '23734.768', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.007', 'prec': 17}, 'traces': [10, 0, 0, 0, 3, 0, -5, 0, 0, 0, 4, 0, -3, 0, 0, 0, 0, 0, -2, 0, 0, 0, 8, 0, -10, 0, 0, 0, 9, 0, 3, 0, 0, 0, -6, 0, -6, 0, 0, 0, 12, 0, 5, 0, 0, 0, 3, 0, -5, 0, 0, 0, -60, 0, -44, 0, 0, 0, 7, 0, -14, 0, 0, 0, 11, 0, 8, 0, 0, 0, -18, 0, 30, 0, 0, 0, 4, 0, 3, 0, 0, 0, 20, 0, -21, 0, 0, 0, 24, 0, 6, 0, 0, 0, -12, 0, -37, 0, 0, 0, 13, 0, 26, 0, 0, 0, -14, 0, 62, 0, 0, 0, -2, 0, 49, 0, 0, 0, 0, 0, -27, 0, 0, 0, -24, 0, -24, 0, 0, 0, 25, 0, 1, 0, 0, 0, 23, 0, 39, 0, 0, 0, -52, 0, 36, 0, 0, 0, 30, 0, 31, 0, 0, 0, 31, 0, -11, 0, 0, 0, -16, 0, -28, 0, 0, 0, 21, 0, 6, 0, 0, 0, 13, 0, -10, 0, 0, 0, -86, 0, 110, 0, 0, 0, -11, 0, -9, 0, 0, 0, -9, 0, -49, 0, 0, 0, -10, 0, -60, 0, 0, 0, 9, 0, -8, 0, 0, 0, -17, 0, 27, 0, 0, 0, 26, 0, -6, 0, 0, 0, 48, 0, 55, 0, 0, 0, 23, 0, 5, 0, 0, 0, -22, 0, -116, 0, 0, 0, 31, 0, -48, 0, 0, 0, 3, 0, -33, 0, 0, 0, -28, 0, -18, 0, 0, 0, 24, 0, 3, 0, 0, 0, 43, 0, -39, 0, 0, 0, -114, 0, 4, 0, 0, 0, 29, 0, -6, 0, 0, 0, -24, 0, 43, 0, 0, 0, -24, 0, -14, 0, 0, 0, -41, 0, -16, 0, 0, 0, -28, 0, 5, 0, 0, 0, -58, 0, -36, 0, 0, 0, 22, 0, -1, 0, 0, 0, 32, 0, 57, 0, 0, 0, 24, 0, 0, 0, 0, 0, 3, 0, 6, 0, 0, 0, 17, 0, 49, 0, 0, 0, -8, 0, 10, 0, 0, 0, 55, 0, -44, 0, 0, 0, 38, 0, -50, 0, 0, 0, -48, 0, 24, 0, 0, 0, 88, 0, -15, 0, 0, 0, 30, 0, 37, 0, 0, 0, 18, 0, 22, 0, 0, 0, -25, 0, 22, 0, 0, 0, 59, 0, 81, 0, 0, 0, -124, 0, -62, 0, 0, 0, -10, 0, 17, 0, 0, 0, -38, 0, -20, 0, 0, 0, -14, 0, 66, 0, 0, 0, -50, 0, 11, 0, 0, 0, -27, 0, -14, 0, 0, 0, 38, 0, 178, 0, 0, 0, 83, 0, 9, 0, 0, 0, 74, 0, -18, 0, 0, 0, 84, 0, -80, 0, 0, 0, 11, 0, 43, 0, 0, 0, 114, 0, -56, 0, 0, 0, 58, 0, -16, 0, 0, 0, 22, 0, 29, 0, 0, 0, 45, 0, 5, 0, 0, 0, -248, 0, 30, 0, 0, 0, 27, 0, 39, 0, 0, 0, 9, 0, -30, 0, 0, 0, -196, 0, -96, 0, 0, 0, -26, 0, -15, 0, 0, 0, -19, 0, -113, 0, 0, 0, 18, 0, 34, 0, 0, 0, 3, 0, -69, 0, 0, 0, 2, 0, 41, 0, 0, 0, -8, 0, -102, 0, 0, 0, 12, 0, -26, 0, 0, 0, 60, 0, 3, 0, 0, 0, -82, 0, -110, 0, 0, 0, 82, 0, 12, 0, 0, 0, 17, 0, -7, 0, 0, 0, 52, 0, -28, 0, 0, 0, 20, 0, -45, 0, 0, 0, -18, 0, 72, 0, 0, 0, 46, 0, 42, 0, 0, 0, 42, 0, -58, 0, 0, 0, 38, 0, -45, 0, 0, 0, -214, 0, 10, 0, 0, 0, -116, 0, -8, 0, 0, 0, -12, 0, 65, 0, 0, 0, -114, 0, 100, 0, 0, 0, -82, 0, -3, 0, 0, 0, -8, 0, 59, 0, 0, 0, 18, 0, -42, 0, 0, 0, 124, 0, 40, 0, 0, 0, 27, 0, 47, 0, 0, 0, 24, 0, 156, 0, 0, 0, 63, 0, 60, 0, 0, 0, 35, 0, -37, 0, 0, 0, -88, 0, 130, 0, 0, 0, 12, 0, -44, 0, 0, 0, 98, 0, 69, 0, 0, 0, -116, 0, -36, 0, 0, 0, 13, 0, 102, 0, 0, 0, -95, 0, -82, 0, 0, 0, 54, 0, -52, 0, 0, 0, 18, 0, 3, 0, 0, 0, 21, 0, -13, 0, 0, 0, 70, 0, 26, 0, 0, 0, -70, 0, 18, 0, 0, 0, 7, 0, -11, 0, 0, 0, 212, 0, -228, 0, 0, 0, -90, 0, -31, 0, 0, 0, 49, 0, -42, 0, 0, 0, -2, 0, 126, 0, 0, 0, 105, 0, 1, 0, 0, 0, 44, 0, -59, 0, 0, 0, 4, 0, -44, 0, 0, 0, 72, 0, -24, 0, 0, 0, -113, 0, 49, 0, 0, 0, 0, 0, -48, 0, 0, 0, 1, 0, 140, 0, 0, 0, 53, 0, 32, 0, 0, 0, -118, 0, -10, 0, 0, 0, 0, 0, -131, 0, 0, 0, -15, 0, 40, 0, 0, 0, -60, 0, 54, 0, 0, 0, -11, 0, -91, 0, 0, 0, -86, 0, -33, 0, 0, 0, 120, 0, 86, 0, 0, 0, -13, 0, 16, 0, 0, 0, 12, 0, 122, 0, 0, 0, 150, 0, 26, 0, 0, 0, 16, 0, 12, 0, 0, 0, 135, 0, -56, 0, 0, 0, 60, 0, -54, 0, 0, 0, -7, 0, -83, 0, 0, 0, -69, 0, -49, 0, 0, 0, -50, 0, 160, 0, 0, 0, -19, 0, 117, 0, 0, 0, -185, 0, 1, 0, 0, 0, -396, 0, -128, 0, 0, 0, 19, 0, -131, 0, 0, 0, -58, 0, -67, 0, 0, 0, -4, 0, 218, 0, 0, 0, 23, 0, 66, 0, 0, 0, -22, 0, -64, 0, 0, 0, 28, 0, -78, 0, 0, 0, 27, 0, 150, 0, 0, 0, 116, 0, 70, 0, 0, 0, 174, 0, -190, 0, 0, 0, -39, 0, -20, 0, 0, 0, 26, 0, -135, 0, 0, 0, 66, 0, -140, 0, 0, 0, 81, 0, -18, 0, 0, 0, 137, 0, 26, 0, 0, 0, -90, 0, 166, 0, 0, 0, 31, 0, 7, 0, 0, 0, -45, 0, -1, 0, 0, 0, -60, 0, -308, 0, 0, 0, -110, 0, -57, 0, 0, 0, -207, 0, 31, 0, 0, 0, -86, 0, -192, 0, 0, 0, -51, 0, 19, 0, 0, 0, -30, 0, 25, 0, 0, 0, 96, 0, 190, 0, 0, 0, 31, 0, -126, 0, 0, 0, -39, 0, 48, 0, 0, 0, 334, 0, 22, 0, 0, 0, 126, 0, -117, 0, 0, 0, 131, 0, -137, 0, 0, 0, 14, 0, 14, 0, 0, 0, -32, 0, -14, 0, 0, 0, 8, 0, 18, 0, 0, 0, -134, 0, 356, 0, 0, 0, -96, 0, 14, 0, 0, 0, -79, 0, 49, 0, 0, 0, -82, 0, -286, 0, 0, 0, 18, 0, 91, 0, 0, 0, -79, 0, -73, 0, 0, 0, -42, 0, 218, 0, 0, 0, -27, 0, 174, 0, 0, 0, -94, 0, 6, 0, 0, 0, 358, 0, 270, 0, 0, 0, 18, 0, -17, 0, 0, 0, -37, 0, -15, 0, 0, 0, 166, 0, 66, 0, 0, 0, 13, 0, -51, 0, 0, 0, -18, 0, -6, 0, 0, 0, 110, 0, 20, 0, 0, 0, 65, 0, 75, 0, 0, 0, -76, 0, 123, 0, 0, 0, -216, 0, 148, 0, 0, 0, -108, 0, 32, 0, 0, 0, 43, 0, -35, 0, 0, 0, 44, 0, -82, 0, 0, 0, -351, 0, -55, 0, 0, 0, -50, 0, -82, 0, 0, 0, -164, 0, 84, 0, 0, 0, -2, 0, -38, 0, 0, 0, -104, 0, 14, 0, 0, 0, 22, 0, -48, 0, 0, 0, 1, 0, -20, 0, 0, 0, 106, 0, -9, 0, 0, 0, 186, 0, -436, 0, 0, 0, -8, 0, -11, 0, 0, 0, 150, 0, -44, 0, 0, 0, 78, 0, 122, 0, 0, 0, -9, 0, -56, 0, 0, 0, 60, 0, 104, 0, 0, 0, 240, 0, 98, 0, 0, 0, -34, 0, 76, 0, 0, 0, -53, 0, 24, 0, 0, 0, -168, 0, -24, 0, 0, 0, -93, 0, -81, 0, 0, 0, 5, 0, -49, 0, 0, 0, 262, 0, 102, 0, 0, 0, -233, 0, 30, 0, 0, 0, -34, 0, 126, 0, 0, 0, 112, 0, 30, 0, 0, 0, 6, 0, 132, 0, 0, 0, 25, 0, 105, 0, 0, 0, -18, 0, -50, 0, 0, 0, -58, 0, -76, 0, 0, 0, 4, 0, -8, 0, 0, 0, 80, 0, 146, 0, 0, 0, 15, 0, 4, 0, 0, 0, 131, 0, 7, 0, 0, 0, 232, 0, -248, 0, 0, 0, -17, 0, 98, 0, 0, 0, -48, 0, -22, 0, 0, 0, 248, 0, -54, 0, 0, 0, -41, 0, 56, 0, 0, 0, -161, 0, 2, 0, 0, 0, -196, 0, -254, 0, 0, 0, -71, 0, -57, 0, 0, 0, -13, 0, -72, 0, 0, 0, 66, 0, 54, 0, 0, 0, -92, 0, 3, 0, 0, 0, 28, 0, -166, 0, 0, 0, 290, 0, 6, 0, 0, 0, -55, 0, -54, 0, 0, 0, 57, 0, 46, 0, 0, 0, -96, 0, 38, 0, 0, 0, 72, 0, -146, 0, 0, 0, -156, 0, 55, 0, 0, 0, -376, 0, 210, 0, 0, 0, -70, 0, 49, 0, 0, 0, -46, 0, 105, 0, 0, 0, 206, 0, -248, 0, 0, 0, 23, 0, -91, 0, 0, 0, -231, 0, -12, 0, 0, 0, 108, 0, -10, 0, 0, 0, 170, 0, -80, 0, 0, 0, -1, 0, 3, 0, 0, 0, 48, 0, 110, 0, 0, 0, -60, 0, 163, 0, 0, 0, 11, 0, 124, 0, 0, 0, 130, 0, -288, 0, 0, 0, 51, 0, 58, 0, 0, 0, 27, 0, 88, 0, 0, 0, -26, 0, -62, 0, 0, 0, 27, 0, 32, 0, 0, 0, -30, 0, -4, 0, 0, 0, -62, 0, 190, 0, 0, 0, -59, 0, -1, 0, 0, 0, -194, 0, -48, 0, 0, 0, -282, 0, 14, 0, 0, 0, -112, 0, -42, 0, 0, 0, 17, 0, -131, 0, 0, 0, -14, 0, -102, 0, 0, 0, 3, 0, 66, 0, 0, 0, -79, 0, 2, 0, 0, 0, 330, 0, 66, 0, 0, 0, 82, 0, 104, 0, 0, 0, -50, 0, -22, 0, 0, 0, 332, 0, -118, 0, 0, 0, 87, 0, -225, 0, 0, 0, 14, 0, -56, 0, 0, 0, 368, 0, 42, 0, 0, 0, -12, 0, 9, 0, 0, 0, 66, 0, -89, 0, 0, 0, -226, 0, -54, 0, 0, 0, 60, 0, -9, 0, 0, 0, -225, 0, 69, 0, 0, 0, -48, 0, -196, 0, 0, 0, -18, 0, -47, 0, 0, 0, -131, 0, 3, 0, 0, 0, 194, 0, -408, 0, 0, 0, 29, 0, 45, 0, 0, 0, -52, 0, 80, 0, 0, 0, 182, 0, -56, 0, 0, 0, 43, 0, 182, 0, 0, 0, 92, 0, -14, 0, 0, 0, 132, 0, 78, 0, 0, 0, -72, 0, -83, 0, 0, 0, 45, 0, -34, 0, 0, 0, -94, 0, 138, 0, 0, 0, 91, 0, 31, 0, 0, 0, 57, 0, 108, 0, 0, 0, 4, 0, 230, 0, 0, 0, -102, 0, -2, 0, 0, 0, 92, 0, 144, 0, 0, 0, -280, 0, 58, 0, 0, 0, -131, 0, -71, 0, 0, 0, -209, 0, -90, 0, 0, 0, -58, 0, 118, 0, 0, 0, -103, 0, -62, 0, 0, 0, -108, 0, -6, 0, 0, 0, -198, 0, 360, 0, 0, 0, 13, 0, 81, 0, 0, 0, -30, 0, 23, 0, 0, 0, 258, 0, -278, 0, 0, 0, -24, 0, -91, 0, 0, 0, 80, 0, -51, 0, 0, 0, 118, 0, -86, 0, 0, 0, 15, 0, 93, 0, 0, 0, 244, 0, 15, 0, 0, 0, -436, 0, -138, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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7, -5], [7, 7, 0, 0, 3, 2, 6, 3, -2, -6], [-3, 0, 4, 4, 4, -11, -4, 0, 0, 0], [-38, 0, -1, -9, -1, 13, -1, 0, 0, 0], [0, 14, 7, -1, 0, 0, 0, 1, -2, 0], [20, 0, 9, -9, 9, 3, 3, 0, 0, 0], [0, 24, -2, -5, 0, 0, 0, 5, 0, -7], [34, 0, 5, -5, 5, 0, -2, 0, 0, 0], [-1, -1, 0, 0, -7, 3, -6, 1, -3, 6], [-5, -5, 0, 0, -10, 1, -7, 8, -1, 7], [0, 11, -2, -4, 0, 0, 0, 4, 7, 10], [0, 0, 2, 4, 0, 0, 0, -4, 5, 9], [9, 0, -4, 0, -4, -2, -5, 0, 0, 0], [11, 11, 0, 0, 4, 4, 5, -8, -4, -5], [0, -13, 0, -4, 0, 0, 0, 4, -2, -3], [27, 27, 0, 0, -6, -1, -1, 9, 1, 1], [0, -9, -11, 9, 0, 0, 0, -9, -10, -7], [4, 0, 2, 3, 2, 6, 1, 0, 0, 0], [-16, 0, 2, -5, 2, -2, 3, 0, 0, 0], [6, 0, 0, -6, 0, 2, 2, 0, 0, 0], [-3, -3, 0, 0, -9, -3, -10, 5, 3, 10], [0, 14, 6, 14, 0, 0, 0, -14, -2, -2], [4, 4, 0, 0, 2, -2, -5, 5, 2, 5], [-1, 0, 13, -1, 13, 4, 8, 0, 0, 0], [-3, -3, 0, 0, -10, 3, -6, 6, -3, 6], [0, 6, -2, 2, 0, 0, 0, -2, 8, 2], [0, -24, 2, 1, 0, 0, 0, -1, -8, -3], [-6, -6, 0, 0, 2, 5, -3, -4, -5, 3], [0, -6, 3, 3, 0, 0, 0, -3, -1, 15], [-5, -5, 0, 0, -3, 1, -3, 15, -1, 3], [0, 4, 7, -1, 0, 0, 0, 1, -2, 12], [-18, 0, 6, -6, 6, 3, 3, 0, 0, 0], [-22, -22, 0, 0, -3, 5, -5, 3, -5, 5], [-14, -14, 0, 0, 9, 13, -1, -1, -13, 1], [16, 16, 0, 0, -10, 4, -6, -8, -4, 6], [6, 6, 0, 0, -2, -14, -5, 4, 14, 5], [-12, 0, -5, -5, -5, 10, 0, 0, 0, 0], [-16, -16, 0, 0, 2, 2, 4, -14, -2, -4], [0, 24, 4, -18, 0, 0, 0, 18, 7, 1], [0, -5, 1, -5, 0, 0, 0, 5, -8, 7], [3, 0, 1, -15, 1, 5, 7, 0, 0, 0], [0, -5, -7, 15, 0, 0, 0, -15, 0, -1], [0, -26, -7, 7, 0, 0, 0, -7, -2, -6], [0, 0, 0, 0, 3, 8, 10, -7, -8, -10], [-31, 0, -3, -4, -3, 4, -6, 0, 0, 0], [-14, -14, 0, 0, -2, 2, -3, -18, -2, 3], [-17, -17, 0, 0, -2, 11, 6, -16, -11, -6], [0, -7, -9, 2, 0, 0, 0, -2, -4, -12], [0, 38, 1, -5, 0, 0, 0, 5, 6, -4], [0, 0, 0, 0, 2, 4, -4, 6, -4, 4], [-21, 0, -15, 3, -15, -1, 0, 0, 0, 0], [-12, -12, 0, 0, -7, -8, -6, 7, 8, 6], [11, 0, 4, 2, 4, -3, 4, 0, 0, 0], [0, -5, 5, 1, 0, 0, 0, -1, 6, 1], [4, 0, -1, 15, -1, -3, -9, 0, 0, 0], [17, 17, 0, 0, 3, -6, -3, 15, 6, 3], [0, 0, -5, -1, -5, 5, -1, 0, 0, 0], [13, 13, 0, 0, 1, 1, 0, -3, -1, 0], [0, 30, 6, -4, 0, 0, 0, 4, -1, 3], [28, 0, -7, 7, -7, -15, -1, 0, 0, 0], [-12, -12, 0, 0, 6, -4, 5, -7, 4, -5], [19, 19, 0, 0, -4, 1, 2, -4, -1, -2], [27, 0, 8, -2, 8, -6, 8, 0, 0, 0], [-3, -3, 0, 0, -7, -6, 1, -5, 6, -1], [6, 0, -12, -4, -12, -2, -4, 0, 0, 0], [41, 41, 0, 0, 5, -7, 1, 7, 7, -1], [0, 12, 0, 8, 0, 0, 0, -8, -7, -5], [0, 7, 0, -12, 0, 0, 0, 12, 9, 4], [-6, 0, -6, -16, -6, 11, 3, 0, 0, 0], [9, 0, 0, 2, 0, 3, -4, 0, 0, 0], [0, -32, 3, -4, 0, 0, 0, 4, -1, 0], [13, 0, 6, 1, 6, 12, 8, 0, 0, 0], [-3, 0, -14, 6, -14, -10, -1, 0, 0, 0], [0, 3, -7, -9, 0, 0, 0, 9, 5, -6], [0, 12, 6, -12, 0, 0, 0, 12, 9, 3], [1, 1, 0, 0, 1, 2, 1, 5, -2, -1], [-4, 0, 3, -14, 3, 6, 5, 0, 0, 0], [-26, -26, 0, 0, -6, 4, -6, 4, -4, 6], [0, 6, 4, 0, 0, 0, 0, 0, 6, 10], [5, 0, -2, 4, -2, -7, 6, 0, 0, 0], [0, 18, -9, 11, 0, 0, 0, -11, -2, -14], [-3, -3, 0, 0, 7, 8, 7, -11, -8, -7], [7, 7, 0, 0, -7, 11, -6, -3, -11, 6], [-16, -16, 0, 0, 2, 9, -1, -20, -9, 1], [-9, 0, -4, 16, -4, -5, -12, 0, 0, 0], [0, 45, -2, -6, 0, 0, 0, 6, -8, -1], [-22, -22, 0, 0, -10, 11, -1, -10, -11, 1], [-12, -12, 0, 0, -1, -5, 1, 9, 5, -1], [-15, 0, -2, -12, -2, 8, -3, 0, 0, 0], [7, 7, 0, 0, -1, 15, 2, 1, -15, -2], [0, 3, 8, -4, 0, 0, 0, 4, 3, 0], [-18, 0, 0, -4, 0, -14, -6, 0, 0, 0], [0, 19, -2, 13, 0, 0, 0, -13, -16, -10], [7, 7, 0, 0, -4, -8, 7, -10, 8, -7], [15, 15, 0, 0, -1, 10, 7, 1, -10, -7], [0, -21, -3, 1, 0, 0, 0, -1, -9, -2], [0, 19, 2, -3, 0, 0, 0, 3, 3, -1], [-1, -1, 0, 0, 9, -13, 1, -4, 13, -1], [-15, 0, -8, -4, -8, 3, -3, 0, 0, 0], [1, 0, -12, -12, -12, 7, -7, 0, 0, 0], [12, 12, 0, 0, 3, 5, 1, -13, -5, -1], [0, -2, -3, -9, 0, 0, 0, 9, -7, -7], [0, 0, 6, 8, 6, 11, -1, 0, 0, 0], [0, -19, -1, 11, 0, 0, 0, -11, 13, 4], [-29, 0, -9, 2, -9, 6, 6, 0, 0, 0], [-19, -19, 0, 0, 8, -15, 5, -6, 15, -5], [-23, -23, 0, 0, 2, -5, -8, -4, 5, 8], [0, 15, -5, -3, 0, 0, 0, 3, 11, 10], [3, 3, 0, 0, 0, -8, -2, -5, 8, 2], [0, -16, 5, -1, 0, 0, 0, 1, 1, -1], [0, -17, -3, -4, 0, 0, 0, 4, -8, 0], [8, 0, -1, 3, -1, 4, -8, 0, 0, 0], [0, -31, 0, 14, 0, 0, 0, -14, -16, 1], [1, 1, 0, 0, -8, 6, -5, 10, -6, 5], [-39, 0, 7, -9, 7, -11, 6, 0, 0, 0], [-16, 0, 9, -11, 9, 3, 4, 0, 0, 0]], 'char_orbit_index': 18, 'field_poly': [243, -324, 162, -63, 75, -66, 25, -7, 6, -4, 1], 'hecke_orbit_code': 58547963420478416, 'hecke_ring_character_values': [[1135, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [757, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [785, [-1, -1, 0, 0, 0, 0, 0, 0, 0, 0]], [2593, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 108, 216, 324, 216, 54, 162, 648, 108, 324], 'hecke_ring_inverse_denominators': [1, 3, 3, 3, 3, 3, 3, 3, 3, 3], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 1, -1, 1, 1, 1, 0, -1, -1], [1, 1, 0, -2, 1, 1, -1, 3, 0, 1], [1, -1, -4, 0, -2, 4, 0, 0, -2, -3], [-13, 11, 0, -6, -1, 6, 0, 1, 1, -2], [-4, 3, -7, -1, -4, -3, -14, 1, 11, 6], [2, -23, -8, -8, -10, 6, 5, -20, 6, -7], [24, 13, 35, -35, 0, -7, -10, 11, 18, 21], [57, -178, 19, 3, 21, -10, -30, 2, 1, 17], [57, -162, 42, -88, 18, 116, 100, 32, -40, -20]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [297, -180, 57, -39, 64, -33, 5, -4, 3, -2], [-351, 369, -417, 102, -61, 69, -44, 19, -3, 5], [405, 0, -513, -21, 36, 77, -65, -12, 1, 8], [945, -225, 303, -288, 197, -67, 26, -35, 13, -5], [621, -396, 57, -75, 142, -57, 5, -10, 9, -2], [-729, 486, -135, 33, -198, 95, -11, 6, -17, 8], [-9639, 6939, -2169, 1428, -2271, 1277, -290, 153, -155, 71], [-1458, 1341, -516, 159, -373, 268, -51, 19, -28, 15], [7452, -6183, 1962, -1119, 1743, -1030, 199, -117, 118, -49]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 10, 'label': '3024.2.r.n', 'level': 3024, 'maxp': 1999, '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': 12096, 'analytic_conductor': 24.14676157123519, 'char_conductor': 9, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 3, 'char_parity': 1, 'char_values': [3024, 3, [1135, 757, 785, 2593], [3, 3, 1, 3]], 'conrey_index': 1009, 'cusp_dim': 1080, 'dim': 72, 'eis_dim': 144, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 1168264661968, 'hecke_orbit_dims': [2, 2, 2, 2, 4, 4, 6, 6, 6, 6, 6, 8, 8, 10], 'label': '3024.2.r', 'level': 3024, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 1224, 'mf_new_dim': 72, 'num_forms': 14, 'prim_orbit_index': 3, 'relative_dim': 36, 'sturm_bound': 1152, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -12, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -12, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 80, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -32, 0, -12, 0, 0, 0, -24, 0, 36, 0, 0, 0, -128, 0, 0, 0, 0, 0, 8, 0, 36, 0, 0, 0, -20, 0, -48, 0, 0, 0, -48, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -36, 0, 24, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 12, 0, -36, 0, 0, 0, 48, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -100, 0, -12, 0, 0, 0, 96, 0, -120, 0, 0, 0, 24, 0, 0, 0, 0, 0, 68, 0, -36, 0, 0, 0, 64, 0, 0, 0, 0, 0, 24, 0, -36, 0, 0, 0, 52, 0, 0, 0, 0, 0, 8, 0, -48, 0, 0, 0, -52, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -64, 0, 72, 0, 0, 0, 120, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 56, 0, 48, 0, 0, 0, -104, 0, 36, 0, 0, 0, 4, 0, 0, 0, 0, 0, -112, 0, 72, 0, 0, 0, -60, 0, 12, 0, 0, 0, -8, 0, 36, 0, 0, 0, -32, 0, -96, 0, 0, 0, 0, 0, 60, 0, 0, 0, 76, 0, 12, 0, 0, 0, 80, 0, 0, 0, 0, 0, 12, 0, 48, 0, 0, 0, 20, 0, 84, 0, 0, 0, 200, 0, 96, 0, 0, 0, 112, 0, 48, 0, 0, 0, 48, 0, 48, 0, 0, 0, 256, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 24, 0, 0, 0, -40, 0, 0, 0, 0, 0, -20, 0, -36, 0, 0, 0, -60, 0, 12, 0, 0, 0, 0, 0, -168, 0, 0, 0, -124, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, -32, 0, 24, 0, 0, 0, 24, 0, 0, 0, 0, 0, 84, 0, 48, 0, 0, 0, -184, 0, -96, 0, 0, 0, -40, 0, 12, 0, 0, 0, 160, 0, -108, 0, 0, 0, -72, 0, 0, 0, 0, 0, -36, 0, -72, 0, 0, 0, 36, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 88, 0, 48, 0, 0, 0, 8, 0, 36, 0, 0, 0, -392, 0, 48, 0, 0, 0, -56, 0, 36, 0, 0, 0, -80, 0, 0, 0, 0, 0, 24, 0, 144, 0, 0, 0, -132, 0, -60, 0, 0, 0, -72, 0, 24, 0, 0, 0, -24, 0, 96, 0, 0, 0, 104, 0, 48, 0, 0, 0, -8, 0, -24, 0, 0, 0, -272, 0, 144, 0, 0, 0, -48, 0, -48, 0, 0, 0, -4, 0, 84, 0, 0, 0, 24, 0, -24, 0, 0, 0, 0, 0, 84, 0, 0, 0, -176, 0, -48, 0, 0, 0, -112, 0, 0, 0, 0, 0, 72, 0, -12, 0, 0, 0, -8, 0, 12, 0, 0, 0, -272, 0, -96, 0, 0, 0, -132, 0, 24, 0, 0, 0, -44, 0, -60, 0, 0, 0, 128, 0, -96, 0, 0, 0, -8, 0, 0, 0, 0, 0, 108, 0, -84, 0, 0, 0, -8, 0, -168, 0, 0, 0, 56, 0, -156, 0, 0, 0, 104, 0, -48, 0, 0, 0, 16, 0, -96, 0, 0, 0, 224, 0, 48, 0, 0, 0, -80, 0, 0, 0, 0, 0, 280, 0, -96, 0, 0, 0, 24, 0, -36, 0, 0, 0, -112, 0, 60, 0, 0, 0, 16, 0, 168, 0, 0, 0, 36, 0, -48, 0, 0, 0, -136, 0, -36, 0, 0, 0, -48, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -8, 0, 168, 0, 0, 0, -20, 0, 0, 0, 0, 0, 16, 0, 48, 0, 0, 0, 696, 0, -48, 0, 0, 0, -32, 0, 48, 0, 0, 0, 128, 0, 72, 0, 0, 0, 144, 0, -72, 0, 0, 0, 100, 0, 24, 0, 0, 0, 144, 0, 0, 0, 0, 0, 128, 0, 48, 0, 0, 0, 40, 0, 36, 0, 0, 0, -44, 0, 24, 0, 0, 0, 248, 0, -48, 0, 0, 0, 156, 0, 84, 0, 0, 0, 40, 0, 48, 0, 0, 0, -176, 0, -48, 0, 0, 0, 4, 0, -36, 0, 0, 0, 292, 0, -36, 0, 0, 0, -320, 0, 0, 0, 0, 0, -120, 0, 120, 0, 0, 0, 48, 0, -168, 0, 0, 0, 232, 0, 48, 0, 0, 0, -48, 0, -96, 0, 0, 0, 72, 0, 96, 0, 0, 0, -192, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 96, 0, -300, 0, 0, 0, 264, 0, 96, 0, 0, 0, 32, 0, -216, 0, 0, 0, -120, 0, 0, 0, 0, 0, 80, 0, 144, 0, 0, 0, -368, 0, 24, 0, 0, 0, -80, 0, 0, 0, 0, 0, -512, 0, -144, 0, 0, 0, 0, 0, -72, 0, 0, 0, 48, 0, 120, 0, 0, 0, 184, 0, 624, 0, 0, 0, -72, 0, -36, 0, 0, 0, -248, 0, 156, 0, 0, 0, -112, 0, 0, 0, 0, 0, 180, 0, 108, 0, 0, 0, 268, 0, 0, 0, 0, 0, 272, 0, 432, 0, 0, 0, 80, 0, 72, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 1035504
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 10, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3024.2.r.n', 'source_level': 3024, 'target_char_orbit': 18, 'target_dim': 10, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '504.2.r.f', 'target_level': 504, 'twist_class_label': '504.2.r.f', 'twist_class_level': 504, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1035505
    {'conductor': 36, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 10, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3024.2.r.n', 'source_level': 3024, 'target_char_orbit': 18, 'target_dim': 10, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '504.2.r.f', 'target_level': 504, 'twist_class_label': '504.2.r.f', 'twist_class_level': 504, 'twisting_char_label': '36.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1035506
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 10, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3024.2.r.n', 'source_level': 3024, 'target_char_orbit': 18, 'target_dim': 10, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '1008.2.r.n', 'target_level': 1008, 'twist_class_label': '504.2.r.f', 'twist_class_level': 504, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1035507
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 10, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3024.2.r.n', 'source_level': 3024, 'target_char_orbit': 18, 'target_dim': 10, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '1008.2.r.n', 'target_level': 1008, 'twist_class_label': '504.2.r.f', 'twist_class_level': 504, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1035508
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 10, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3024.2.r.n', 'source_level': 3024, 'target_char_orbit': 18, 'target_dim': 10, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1512.2.r.f', 'target_level': 1512, 'twist_class_label': '504.2.r.f', 'twist_class_level': 504, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1035509
    {'conductor': 36, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 10, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3024.2.r.n', 'source_level': 3024, 'target_char_orbit': 18, 'target_dim': 10, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1512.2.r.f', 'target_level': 1512, 'twist_class_label': '504.2.r.f', 'twist_class_level': 504, 'twisting_char_label': '36.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1035510
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 18, 'source_dim': 10, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3024.2.r.n', 'source_level': 3024, 'target_char_orbit': 18, 'target_dim': 10, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '3024.2.r.n', 'target_level': 3024, 'twist_class_label': '504.2.r.f', 'twist_class_level': 504, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1035511
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 10, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3024.2.r.n', 'source_level': 3024, 'target_char_orbit': 18, 'target_dim': 10, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '3024.2.r.n', 'target_level': 3024, 'twist_class_label': '504.2.r.f', 'twist_class_level': 504, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1035512
    {'conductor': 36, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 10, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3024.2.r.n', 'source_level': 3024, 'target_char_orbit': 1, 'target_dim': 5, 'target_hecke_orbit': 29, 'target_is_minimal': False, 'target_label': '4536.2.a.bc', 'target_level': 4536, 'twist_class_label': '504.2.r.f', 'twist_class_level': 504, 'twisting_char_label': '36.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1035513
    {'conductor': 36, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 10, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3024.2.r.n', 'source_level': 3024, 'target_char_orbit': 1, 'target_dim': 5, 'target_hecke_orbit': 30, 'target_is_minimal': False, 'target_label': '4536.2.a.bd', 'target_level': 4536, 'twist_class_label': '504.2.r.f', 'twist_class_level': 504, 'twisting_char_label': '36.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1035514
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 10, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3024.2.r.n', 'source_level': 3024, 'target_char_orbit': 1, 'target_dim': 5, 'target_hecke_orbit': 65, 'target_is_minimal': False, 'target_label': '9072.2.a.cm', 'target_level': 9072, 'twist_class_label': '504.2.r.f', 'twist_class_level': 504, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1035515
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 10, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3024.2.r.n', 'source_level': 3024, 'target_char_orbit': 1, 'target_dim': 5, 'target_hecke_orbit': 66, 'target_is_minimal': False, 'target_label': '9072.2.a.cn', 'target_level': 9072, 'twist_class_label': '504.2.r.f', 'twist_class_level': 504, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2967775
    {'charpoly_factorization': [[[0, 1], 10]], 'hecke_orbit_code': 58547963420478416, 'p': 2}
  • id: 2967776
    {'charpoly_factorization': [[[0, 1], 10]], 'hecke_orbit_code': 58547963420478416, 'p': 3}
  • id: 2967777
    {'charpoly_factorization': [[[3721, -2196, 3370, -362, 1441, -287, 235, -29, 22, -3, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 5}
  • id: 2967778
    {'charpoly_factorization': [[[1, 1, 1], 5]], 'hecke_orbit_code': 58547963420478416, 'p': 7}
  • id: 2967779
    {'charpoly_factorization': [[[11664, -1728, 15052, -4936, 18865, -4501, 1621, -142, 49, -4, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 11}
  • id: 2967780
    {'charpoly_factorization': [[[18496, 19584, 26584, 608, 5041, 347, 610, 11, 34, 3, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 13}
  • id: 2967781
    {'charpoly_factorization': [[[-108, 360, 9, -39, 0, 1], 2]], 'hecke_orbit_code': 58547963420478416, 'p': 17}
  • id: 2967782
    {'charpoly_factorization': [[[-577, 692, -10, -53, 1, 1], 2]], 'hecke_orbit_code': 58547963420478416, 'p': 19}
  • id: 2967783
    {'charpoly_factorization': [[[1846881, -2238273, 1860516, -869589, 305181, -62613, 10263, -774, 124, -8, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 23}
  • id: 2967784
    {'charpoly_factorization': [[[104976, -11664, 39204, -3564, 11205, -1080, 1161, -126, 93, -9, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 29}
  • id: 2967785
    {'charpoly_factorization': [[[29584, -14448, 27868, -3596, 17485, -4508, 1879, -122, 49, -3, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 31}
  • id: 2967786
    {'charpoly_factorization': [[[4948, 1524, -247, -82, 3, 1], 2]], 'hecke_orbit_code': 58547963420478416, 'p': 37}
  • id: 2967787
    {'charpoly_factorization': [[[22733824, -1373184, 2605216, -143264, 231553, -14255, 7021, -686, 175, -12, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 41}
  • id: 2967788
    {'charpoly_factorization': [[[36144144, -1034064, 4328164, -1103468, 498709, -77222, 13807, -920, 127, -5, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 43}
  • id: 2967789
    {'charpoly_factorization': [[[197346304, 126094848, 78615904, 6923056, 1874617, 39826, 32245, 328, 211, -3, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 47}
  • id: 2967790
    {'charpoly_factorization': [[[324, 1728, 1323, 315, 30, 1], 2]], 'hecke_orbit_code': 58547963420478416, 'p': 53}
  • id: 2967791
    {'charpoly_factorization': [[[51322896, -41006736, 38072700, 1920348, 1426221, -47070, 25707, -348, 211, -7, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 59}
  • id: 2967792
    {'charpoly_factorization': [[[2152089, 4977531, 9958896, 3469959, 999513, 138015, 19983, 1530, 238, 14, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 61}
  • id: 2967793
    {'charpoly_factorization': [[[75898944, -28366272, 15732904, -329912, 697249, -32597, 18097, -146, 193, -8, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 67}
  • id: 2967794
    {'charpoly_factorization': [[[3079, 438, -382, -49, 9, 1], 2]], 'hecke_orbit_code': 58547963420478416, 'p': 71}
  • id: 2967795
    {'charpoly_factorization': [[[-5924, -852, 1661, -118, -15, 1], 2]], 'hecke_orbit_code': 58547963420478416, 'p': 73}
  • id: 2967796
    {'charpoly_factorization': [[[2271049, 1464804, 1303450, 115274, 172945, 34709, 11539, 821, 124, -3, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 79}
  • id: 2967797
    {'charpoly_factorization': [[[8283184144, 696059776, 402426252, -49470504, 11596377, -823959, 95997, -5298, 513, -20, 1], 1]], 'hecke_orbit_code': 58547963420478416, 'p': 83}
  • id: 2967798
    {'charpoly_factorization': [[[-43416, 3024, 1809, -153, -12, 1], 2]], 'hecke_orbit_code': 58547963420478416, 'p': 89}
  • id: 2967799
    {'charpoly_factorization': [[[1464439824, -844498224, 583546788, 34553628, 11040381, 974952, 191595, 15258, 1093, 37, 1], 1]], 'hecke_orbit_code': 58547963420478416, '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': 18, 'hecke_orbit': 14, 'label': '3024.2.r.n', 'level': 3024, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 59339203
    {'hecke_orbit_code': 58547963420478416, 'n': 1, 'trace_an': 10}
  • id: 59339204
    {'hecke_orbit_code': 58547963420478416, 'n': 2, 'trace_an': 0}
  • id: 59339205
    {'hecke_orbit_code': 58547963420478416, 'n': 3, 'trace_an': 0}
  • id: 59339206
    {'hecke_orbit_code': 58547963420478416, 'n': 4, 'trace_an': 0}
  • id: 59339207
    {'hecke_orbit_code': 58547963420478416, 'n': 5, 'trace_an': 3}
  • id: 59339208
    {'hecke_orbit_code': 58547963420478416, 'n': 6, 'trace_an': 0}
  • id: 59339209
    {'hecke_orbit_code': 58547963420478416, 'n': 7, 'trace_an': -5}
  • id: 59339210
    {'hecke_orbit_code': 58547963420478416, 'n': 8, 'trace_an': 0}
  • id: 59339211
    {'hecke_orbit_code': 58547963420478416, 'n': 9, 'trace_an': 0}
  • id: 59339212
    {'hecke_orbit_code': 58547963420478416, 'n': 10, 'trace_an': 0}
  • id: 59339213
    {'hecke_orbit_code': 58547963420478416, 'n': 11, 'trace_an': 4}
  • id: 59339214
    {'hecke_orbit_code': 58547963420478416, 'n': 12, 'trace_an': 0}
  • id: 59339215
    {'hecke_orbit_code': 58547963420478416, 'n': 13, 'trace_an': -3}
  • id: 59339216
    {'hecke_orbit_code': 58547963420478416, 'n': 14, 'trace_an': 0}
  • id: 59339217
    {'hecke_orbit_code': 58547963420478416, 'n': 15, 'trace_an': 0}
  • id: 59339218
    {'hecke_orbit_code': 58547963420478416, 'n': 16, 'trace_an': 0}
  • id: 59339219
    {'hecke_orbit_code': 58547963420478416, 'n': 17, 'trace_an': 0}
  • id: 59339220
    {'hecke_orbit_code': 58547963420478416, 'n': 18, 'trace_an': 0}
  • id: 59339221
    {'hecke_orbit_code': 58547963420478416, 'n': 19, 'trace_an': -2}
  • id: 59339222
    {'hecke_orbit_code': 58547963420478416, 'n': 20, 'trace_an': 0}
  • id: 59339223
    {'hecke_orbit_code': 58547963420478416, 'n': 21, 'trace_an': 0}
  • id: 59339224
    {'hecke_orbit_code': 58547963420478416, 'n': 22, 'trace_an': 0}
  • id: 59339225
    {'hecke_orbit_code': 58547963420478416, 'n': 23, 'trace_an': 8}
  • id: 59339226
    {'hecke_orbit_code': 58547963420478416, 'n': 24, 'trace_an': 0}
  • id: 59339227
    {'hecke_orbit_code': 58547963420478416, 'n': 25, 'trace_an': -10}
  • id: 59339228
    {'hecke_orbit_code': 58547963420478416, 'n': 26, 'trace_an': 0}
  • id: 59339229
    {'hecke_orbit_code': 58547963420478416, 'n': 27, 'trace_an': 0}
  • id: 59339230
    {'hecke_orbit_code': 58547963420478416, 'n': 28, 'trace_an': 0}
  • id: 59339231
    {'hecke_orbit_code': 58547963420478416, 'n': 29, 'trace_an': 9}
  • id: 59339232
    {'hecke_orbit_code': 58547963420478416, 'n': 30, 'trace_an': 0}
  • id: 59339233
    {'hecke_orbit_code': 58547963420478416, 'n': 31, 'trace_an': 3}
  • id: 59339234
    {'hecke_orbit_code': 58547963420478416, 'n': 32, 'trace_an': 0}
  • id: 59339235
    {'hecke_orbit_code': 58547963420478416, 'n': 33, 'trace_an': 0}
  • id: 59339236
    {'hecke_orbit_code': 58547963420478416, 'n': 34, 'trace_an': 0}
  • id: 59339237
    {'hecke_orbit_code': 58547963420478416, 'n': 35, 'trace_an': -6}
  • id: 59339238
    {'hecke_orbit_code': 58547963420478416, 'n': 36, 'trace_an': 0}
  • id: 59339239
    {'hecke_orbit_code': 58547963420478416, 'n': 37, 'trace_an': -6}
  • id: 59339240
    {'hecke_orbit_code': 58547963420478416, 'n': 38, 'trace_an': 0}
  • id: 59339241
    {'hecke_orbit_code': 58547963420478416, 'n': 39, 'trace_an': 0}
  • id: 59339242
    {'hecke_orbit_code': 58547963420478416, 'n': 40, 'trace_an': 0}
  • id: 59339243
    {'hecke_orbit_code': 58547963420478416, 'n': 41, 'trace_an': 12}
  • id: 59339244
    {'hecke_orbit_code': 58547963420478416, 'n': 42, 'trace_an': 0}
  • id: 59339245
    {'hecke_orbit_code': 58547963420478416, 'n': 43, 'trace_an': 5}
  • id: 59339246
    {'hecke_orbit_code': 58547963420478416, 'n': 44, 'trace_an': 0}
  • id: 59339247
    {'hecke_orbit_code': 58547963420478416, 'n': 45, 'trace_an': 0}
  • id: 59339248
    {'hecke_orbit_code': 58547963420478416, 'n': 46, 'trace_an': 0}
  • id: 59339249
    {'hecke_orbit_code': 58547963420478416, 'n': 47, 'trace_an': 3}
  • id: 59339250
    {'hecke_orbit_code': 58547963420478416, 'n': 48, 'trace_an': 0}
  • id: 59339251
    {'hecke_orbit_code': 58547963420478416, 'n': 49, 'trace_an': -5}
  • id: 59339252
    {'hecke_orbit_code': 58547963420478416, 'n': 50, 'trace_an': 0}
  • id: 59339253
    {'hecke_orbit_code': 58547963420478416, 'n': 51, 'trace_an': 0}
  • id: 59339254
    {'hecke_orbit_code': 58547963420478416, 'n': 52, 'trace_an': 0}
  • id: 59339255
    {'hecke_orbit_code': 58547963420478416, 'n': 53, 'trace_an': -60}
  • id: 59339256
    {'hecke_orbit_code': 58547963420478416, 'n': 54, 'trace_an': 0}
  • id: 59339257
    {'hecke_orbit_code': 58547963420478416, 'n': 55, 'trace_an': -44}
  • id: 59339258
    {'hecke_orbit_code': 58547963420478416, 'n': 56, 'trace_an': 0}
  • id: 59339259
    {'hecke_orbit_code': 58547963420478416, 'n': 57, 'trace_an': 0}
  • id: 59339260
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  • id: 59339264
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  • id: 59339265
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  • id: 59339266
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  • id: 59339267
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  • id: 59339268
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  • id: 59339269
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  • id: 59339270
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  • id: 59339271
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  • id: 59339272
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  • id: 59339273
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  • id: 59339274
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  • id: 59339275
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  • id: 59339276
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  • id: 59339279
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  • id: 59339280
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  • id: 59339281
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  • id: 59339282
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  • id: 59339285
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  • id: 59339287
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  • id: 59339289
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  • id: 59339291
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  • id: 59339299
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  • id: 59339300
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  • id: 59339302
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  • id: 59339303
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  • id: 59339304
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  • id: 59339306
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  • id: 59339307
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  • id: 59339308
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  • id: 59339310
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  • id: 59339311
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  • id: 59339312
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  • id: 59339313
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  • id: 59339314
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  • id: 59339315
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  • id: 59339316
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  • id: 59339317
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  • id: 59339318
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  • id: 59339319
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  • id: 59339320
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  • id: 59339321
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  • id: 59339322
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  • id: 59339323
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  • id: 59339324
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  • id: 59339325
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  • id: 59339326
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  • id: 59339327
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  • id: 59339328
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  • id: 59339329
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  • id: 59339330
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  • id: 59339331
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  • id: 59339332
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  • id: 59339333
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  • id: 59339334
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  • id: 59339336
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  • id: 59339338
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  • id: 59339339
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  • id: 59339340
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  • id: 59339341
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  • id: 59339342
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  • id: 59339343
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  • id: 59339344
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  • id: 59339345
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  • id: 59339346
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  • id: 59339347
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  • id: 59339348
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  • id: 59339350
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  • id: 59339351
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  • id: 59339352
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  • id: 59339353
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  • id: 59339354
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  • id: 59339355
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  • id: 59339356
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  • id: 59339357
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  • id: 59339358
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  • id: 59339359
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  • id: 59339360
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  • id: 59339361
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  • id: 59339362
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  • id: 59339363
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  • id: 59339364
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  • id: 59339365
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  • id: 59339366
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  • id: 59339367
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  • id: 59339368
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  • id: 59339369
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  • id: 59339370
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  • id: 59339371
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  • id: 59339372
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  • id: 59339373
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  • id: 59339374
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  • id: 59339375
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  • id: 59339376
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  • id: 59339377
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  • id: 59339378
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  • id: 59339379
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  • id: 59339380
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  • id: 59339381
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  • id: 59339382
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  • id: 59339383
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  • id: 59339384
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  • id: 59339385
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  • id: 59339386
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  • id: 59339387
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  • id: 59339388
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  • id: 59339389
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  • id: 59339390
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  • id: 59339391
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  • id: 59339392
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  • id: 59339393
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  • id: 59339394
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  • id: 59339395
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  • id: 59339396
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  • id: 59339397
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  • id: 59339398
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  • id: 59339399
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  • id: 59339400
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  • id: 59339401
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  • id: 59339402
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  • id: 59339403
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  • id: 59339404
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  • id: 59339405
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  • id: 59339406
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  • id: 59339407
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  • id: 59339408
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  • id: 59339409
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  • id: 59339410
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  • id: 59339411
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  • id: 59339412
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  • id: 59339413
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  • id: 59339414
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  • id: 59339415
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  • id: 59339416
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  • id: 59339417
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  • id: 59339418
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  • id: 59339419
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  • id: 59339420
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  • id: 59339421
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  • id: 59339422
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  • id: 59339423
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  • id: 59339424
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  • id: 59339425
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  • id: 59339426
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  • id: 59339427
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  • id: 59339428
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  • id: 59339429
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  • id: 59339430
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  • id: 59339431
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  • id: 59339432
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  • id: 59339433
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  • id: 59339434
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  • id: 59339435
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  • id: 59339436
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  • id: 59339437
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  • id: 59339438
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  • id: 59339439
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  • id: 59339440
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  • id: 59339441
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  • id: 59339442
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  • id: 59339443
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  • id: 59339444
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  • id: 59339445
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  • id: 59339446
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  • id: 59339447
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  • id: 59339448
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  • id: 59339449
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  • id: 59339450
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  • id: 59339451
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  • id: 59339452
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  • id: 59339453
    {'hecke_orbit_code': 58547963420478416, 'n': 953, 'trace_an': -4}
  • id: 59339454
    {'hecke_orbit_code': 58547963420478416, 'n': 961, 'trace_an': 66}
  • id: 59339455
    {'hecke_orbit_code': 58547963420478416, 'n': 967, 'trace_an': -64}
  • id: 59339456
    {'hecke_orbit_code': 58547963420478416, 'n': 971, 'trace_an': 28}
  • id: 59339457
    {'hecke_orbit_code': 58547963420478416, 'n': 977, 'trace_an': 27}
  • id: 59339458
    {'hecke_orbit_code': 58547963420478416, 'n': 983, 'trace_an': 116}
  • id: 59339459
    {'hecke_orbit_code': 58547963420478416, 'n': 991, 'trace_an': -190}
  • id: 59339460
    {'hecke_orbit_code': 58547963420478416, 'n': 997, 'trace_an': -20}