Embedded newform data - 4400.2.b.y.4049.4

Formats: - HTML - YAML - JSON - 2025-05-22T10:20:59.988526

• 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': 17600, 'analytic_conductor': 35.13417688936337, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [4400, 2, [2751, 3301, 177, 1201], [2, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 4049, 'dim': 4, 'field_disc': 2704, 'field_disc_factorization': [[2, 4], [13, 2]], 'field_poly': [9, 0, 7, 0, 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': [[3, [9, 0, 7, 0, 1]], [7, [9, 0, 19, 0, 1]], [13, [25, 0, 1]], [17, [729, 0, 63, 0, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086459809927472, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 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': '4400.2.b.y', 'level': 4400, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '275.2.a.e', 'nf_label': '4.0.2704.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{1}q^{3}+(\\beta _{1}+3\\beta _{2})q^{7}+(-1+\\beta _{3})q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4400.2.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 258518997370033973, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.870', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '75.797', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2117.650', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.516', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, -2, 0, 4, 0, 0, 0, 0, 0, 0, 0, -4, 0, -8, 0, 0, 0, 0, 0, 0, 0, 18, 0, -12, 0, 0, 0, 0, 0, 0, 0, 10, 0, -8, 0, 0, 0, 0, 0, 0, 0, -10, 0, -42, 0, 0, 0, 0, 0, 0, 0, -28, 0, -10, 0, 0, 0, 0, 0, 0, 0, 24, 0, -4, 0, 0, 0, 0, 0, 0, 0, -22, 0, -28, 0, 0, 0, 0, 0, 0, 0, -14, 0, -50, 0, 0, 0, 0, 0, 0, 0, -2, 0, 34, 0, 0, 0, 0, 0, 0, 0, -10, 0, 14, 0, 0, 0, 0, 0, 0, 0, -24, 0, 4, 0, 0, 0, 0, 0, 0, 0, -52, 0, 18, 0, 0, 0, 0, 0, 0, 0, 4, 0, -6, 0, 0, 0, 0, 0, 0, 0, -40, 0, 40, 0, 0, 0, 0, 0, 0, 0, -12, 0, -42, 0, 0, 0, 0, 0, 0, 0, -48, 0, 2, 0, 0, 0, 0, 0, 0, 0, 14, 0, -58, 0, 0, 0, 0, 0, 0, 0, -46, 0, -34, 0, 0, 0, 0, 0, 0, 0, -62, 0, -8, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 30, 0, 0, 0, 0, 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-42, 0, 66, 0, 0, 0, 0, 0, 0, 0, -10, 0, 38, 0, 0, 0, 0, 0, 0, 0, 44, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, 62, 0, -10, 0, 0, 0, 0, 0, 0, 0, 64, 0, 120, 0, 0, 0, 0, 0, 0, 0, 12, 0, -36, 0, 0, 0, 0, 0, 0, 0, -78, 0, 14, 0, 0, 0, 0, 0, 0, 0, -114, 0, 60, 0, 0, 0, 0, 0, 0, 0, 12, 0, -18, 0, 0, 0, 0, 0, 0, 0, 42, 0, 66, 0, 0, 0, 0, 0, 0, 0, -24, 0, 140, 0, 0, 0, 0, 0, 0, 0, -28, 0, -80, 0, 0, 0, 0, 0, 0, 0, -102, 0, 8, 0, 0, 0, 0, 0, 0, 0, 158, 0, -10, 0, 0, 0, 0, 0, 0, 0, 122, 0, -6, 0, 0, 0, 0, 0, 0, 0, -10, 0, -2, 0, 0, 0, 0, 0, 0, 0, 60, 0, -136, 0, 0, 0, 0, 0, 0, 0, 40, 0, 50, 0, 0, 0, 0, 0, 0, 0, 72, 0, -64, 0, 0, 0, 0, 0, 0, 0, -26, 0, -156, 0, 0, 0, 0, 0, 0, 0, 90, 0, -10, 0, 0, 0, 0, 0, 0, 0, 30, 0, 102, 0, 0, 0, 0, 0, 0, 0, 24, 0, -112, 0, 0, 0, 0, 0, 0, 0, 64, 0, 36, 0, 0, 0, 0, 0, 0, 0, 8, 0, -4, 0, 0, 0, 0, 0, 0, 0, 102, 0, -78, 0, 0, 0, 0, 0, 0, 0, -18, 0, -6, 0, 0, 0, 0, 0, 0, 0, -72, 0, 32, 0, 0, 0, 0, 0, 0, 0, -40, 0, 48, 0, 0, 0, 0, 0, 0, 0, 18, 0, 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0, -112, 0, 8, 0, 0, 0, 0, 0, 0, 0, 348, 0, 198, 0, 0, 0, 0, 0, 0, 0, 0, 0, -198, 0, 0, 0, 0, 0, 0, 0, -168, 0, -70, 0, 0, 0, 0, 0, 0, 0, 30, 0, 24, 0, 0, 0, 0, 0, 0, 0, 318, 0, -160, 0, 0, 0, 0, 0, 0, 0, -62, 0, -28, 0, 0, 0, 0, 0, 0, 0, -170, 0, -178, 0, 0, 0, 0, 0, 0, 0, 90, 0], '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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-0.40789139366134236, -0.44205649371218514, -0.38522261822288784, 0.0391008334001476, -0.27203124331083806, -0.1467866640565646, -0.4832704563795177, 0.06774575138357666, 0.03008306462500599, -0.3722113061621739, -0.47103526605719126, -0.39834826698193626, -0.20162599800830025, -0.3695212334243219, -0.4455631009673418, 0.1325258356313278, -0.15140374664031614, -0.37288966426149045, -0.22506180120168007], 'char_orbit_index': 2, 'conrey_index': 4049, 'dual_conrey_index': 4049, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 2.302775637731995, 'embedding_root_real': 0.0, 'hecke_orbit': 25, 'hecke_orbit_code': 108086459809927472, 'label': '4400.2.b.y.4049.4', 'level': 4400, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	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': 17600, 'analytic_conductor': 35.13417688936337, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [4400, 2, [2751, 3301, 177, 1201], [2, 2, 1, 2]], 'conrey_index': 4049, 'cusp_dim': 684, 'dim': 90, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 13, 17], 'hecke_orbit_code': 68753035568, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6], 'label': '4400.2.b', 'level': 4400, '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, 5, 11], 'level_radical': 110, 'mf_dim': 756, 'mf_new_dim': 90, 'num_forms': 29, 'prim_orbit_index': 2, 'relative_dim': 90, 'sturm_bound': 1440, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [90, 0, 0, 0, 0, 0, 0, 0, -90, 0, 6, 0, 0, 0, 0, 0, 0, 0, -16, 0, 16, 0, 0, 0, 0, 0, 0, 0, -12, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -90, 0, 16, 0, 0, 0, 0, 0, 0, 0, -52, 0, -52, 0, 0, 0, 0, 0, 0, 0, 16, 0, -12, 0, 0, 0, 0, 0, 0, 0, -40, 0, 42, 0, 0, 0, 0, 0, 0, 0, -4, 0, 64, 0, 0, 0, 0, 0, 0, 0, -18, 0, -4, 0, 0, 0, 0, 0, 0, 0, 52, 0, 4, 0, 0, 0, 0, 0, 0, 0, 72, 0, 90, 0, 0, 0, 0, 0, 0, 0, 64, 0, -72, 0, 0, 0, 0, 0, 0, 0, -88, 0, -16, 0, 0, 0, 0, 0, 0, 0, -28, 0, 16, 0, 0, 0, 0, 0, 0, 0, 48, 0, -48, 0, 0, 0, 0, 0, 0, 0, -110, 0, -88, 0, 0, 0, 0, 0, 0, 0, -12, 0, -4, 0, 0, 0, 0, 0, 0, 0, -64, 0, -100, 0, 0, 0, 0, 0, 0, 0, -80, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 152, 0, -88, 0, 0, 0, 0, 0, 0, 0, 20, 0, -24, 0, 0, 0, 0, 0, 0, 0, 48, 0, -60, 0, 0, 0, 0, 0, 0, 0, 48, 0, 52, 0, 0, 0, 0, 0, 0, 0, 128, 0, 28, 0, 0, 0, 0, 0, 0, 0, 52, 0, -8, 0, 0, 0, 0, 0, 0, 0, -184, 0, 52, 0, 0, 0, 0, 0, 0, 0, -46, 0, 4, 0, 0, 0, 0, 0, 0, 0, 152, 0, -48, 0, 0, 0, 0, 0, 0, 0, -128, 0, 16, 0, 0, 0, 0, 0, 0, 0, 20, 0, -144, 0, 0, 0, 0, 0, 0, 0, 96, 0, 140, 0, 0, 0, 0, 0, 0, 0, -292, 0, -32, 0, 0, 0, 0, 0, 0, 0, 4, 0, 216, 0, 0, 0, 0, 0, 0, 0, 32, 0, 26, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 180, 0, -80, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, -4, 0, 0, 0, 0, 0, 0, 0, 44, 0, -228, 0, 0, 0, 0, 0, 0, 0, -32, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 90, 0, 0, 0, 0, 0, 0, 0, -132, 0, 36, 0, 0, 0, 0, 0, 0, 0, -296, 0, -4, 0, 0, 0, 0, 0, 0, 0, -176, 0, 100, 0, 0, 0, 0, 0, 0, 0, -120, 0, 8, 0, 0, 0, 0, 0, 0, 0, 64, 0, 224, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 104, 0, 0, 0, 0, 0, 0, 0, -88, 0, 180, 0, 0, 0, 0, 0, 0, 0, 38, 0, 248, 0, 0, 0, 0, 0, 0, 0, -70, 0, -100, 0, 0, 0, 0, 0, 0, 0, 244, 0, -208, 0, 0, 0, 0, 0, 0, 0, 184, 0, 48, 0, 0, 0, 0, 0, 0, 0, -36, 0, -288, 0, 0, 0, 0, 0, 0, 0, 96, 0, -192, 0, 0, 0, 0, 0, 0, 0, 224, 0, -112, 0, 0, 0, 0, 0, 0, 0, 24, 0, 68, 0, 0, 0, 0, 0, 0, 0, 176, 0, -376, 0, 0, 0, 0, 0, 0, 0, -92, 0, -144, 0, 0, 0, 0, 0, 0, 0, 24, 0, -28, 0, 0, 0, 0, 0, 0, 0, 64, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 224, 0, 12, 0, 0, 0, 0, 0, 0, 0, -96, 0, -60, 0, 0, 0, 0, 0, 0, 0, 120, 0, -144, 0, 0, 0, 0, 0, 0, 0, -88, 0, 300, 0, 0, 0, 0, 0, 0, 0, 360, 0, 108, 0, 0, 0, 0, 0, 0, 0, 52, 0, 24, 0, 0, 0, 0, 0, 0, 0, 212, 0, -16, 0, 0, 0, 0, 0, 0, 0, -114, 0, -16, 0, 0, 0, 0, 0, 0, 0, -120, 0, 160, 0, 0, 0, 0, 0, 0, 0, -80, 0, 44, 0, 0, 0, 0, 0, 0, 0, -12, 0, 36, 0, 0, 0, 0, 0, 0, 0, 28, 0, -120, 0, 0, 0, 0, 0, 0, 0, -248, 0, 32, 0, 0, 0, 0, 0, 0, 0, -176, 0, -144, 0, 0, 0, 0, 0, 0, 0, 64, 0, 220, 0, 0, 0, 0, 0, 0, 0, 12, 0, -152, 0, 0, 0, 0, 0, 0, 0, -648, 0, 236, 0, 0, 0, 0, 0, 0, 0, 212, 0, 264, 0, 0, 0, 0, 0, 0, 0, 476, 0, 126, 0, 0, 0, 0, 0, 0, 0, -112, 0, 276, 0, 0, 0, 0, 0, 0, 0, 196, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -528, 0, 52, 0, 0, 0, 0, 0, 0, 0, 160, 0, 54, 0, 0, 0, 0, 0, 0, 0, -80, 0, -376, 0, 0, 0, 0, 0, 0, 0, -60, 0, -48, 0, 0, 0, 0, 0, 0, 0, -88, 0, 112, 0, 0, 0, 0, 0, 0, 0, -60, 0, 464, 0, 0, 0, 0, 0, 0, 0, -20, 0, -164, 0, 0, 0, 0, 0, 0, 0, 152, 0, 36, 0, 0, 0, 0, 0, 0, 0, -384, 0, -150, 0, 0, 0, 0, 0, 0, 0, -16, 0, 36, 0, 0, 0, 0, 0, 0, 0, -128, 0, -196, 0, 0, 0, 0, 0, 0, 0, -320, 0, 40, 0, 0, 0, 0, 0, 0, 0, 420, 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: 48557639
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 4049, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 108086459809927472, 'target_is_minimal': False, 'target_label': '4400.2.b.y.4049.4', 'target_level': 4400, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48557640
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268007772435, 'target_is_minimal': False, 'target_label': '275.2.b.c.199.2', 'target_level': 275, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48557641
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 198158383637860656, 'target_is_minimal': False, 'target_label': '4400.2.a.bs.1.2', 'target_level': 4400, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48557642
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 148618787736785200, 'target_is_minimal': False, 'target_label': '4400.2.a.bh.1.1', 'target_level': 4400, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48557643
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 4049, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086459809927472, 'target_is_minimal': False, 'target_label': '4400.2.b.y.4049.1', 'target_level': 4400, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48557644
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 45036133746215339, 'target_is_minimal': False, 'target_label': '2475.2.c.k.199.3', 'target_level': 2475, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48557645
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998170407187, 'target_is_minimal': True, 'target_label': '275.2.a.f.1.1', 'target_level': 275, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48557646
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014398543036691, 'target_is_minimal': True, 'target_label': '275.2.a.e.1.2', 'target_level': 275, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 48557647
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268007772435, 'target_is_minimal': False, 'target_label': '275.2.b.c.199.3', 'target_level': 275, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 48557648
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63050394816743851, 'target_is_minimal': False, 'target_label': '2475.2.a.o.1.2', 'target_level': 2475, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 48557649
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 85568392953596331, 'target_is_minimal': False, 'target_label': '2475.2.a.t.1.1', 'target_level': 2475, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 48557650
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45036133746215339, 'target_is_minimal': False, 'target_label': '2475.2.c.k.199.2', 'target_level': 2475, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 48557651
    {'conductor': 220, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525197425150929, 'target_is_minimal': False, 'target_label': '3025.2.a.h.1.2', 'target_level': 3025, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '220.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 48557652
    {'conductor': 220, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 4049, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086459809927472, 'source_is_minimal': False, 'source_label': '4400.2.b.y.4049.4', 'source_level': 4400, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795189373905, 'target_is_minimal': False, 'target_label': '3025.2.a.n.1.1', 'target_level': 3025, 'twist_class_label': '275.2.a.e.1.2', 'twist_class_level': 275, 'twisting_char_label': '220.87', 'twisting_conrey_index': 87, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3589950
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086459809927472, 'p': 2}
  • id: 3589951
    {'charpoly_factorization': [[[9, 0, 7, 0, 1], 1]], 'hecke_orbit_code': 108086459809927472, 'p': 3}
  • id: 3589952
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086459809927472, 'p': 5}
  • id: 3589953
    {'charpoly_factorization': [[[9, 0, 19, 0, 1], 1]], 'hecke_orbit_code': 108086459809927472, 'p': 7}
  • id: 3589954
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 108086459809927472, 'p': 11}
  • id: 3589955
    {'charpoly_factorization': [[[25, 0, 1], 2]], 'hecke_orbit_code': 108086459809927472, 'p': 13}
  • id: 3589956
    {'charpoly_factorization': [[[729, 0, 63, 0, 1], 1]], 'hecke_orbit_code': 108086459809927472, 'p': 17}
  • id: 3589957
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 108086459809927472, 'p': 19}
  • id: 3589958
    {'charpoly_factorization': [[[729, 0, 67, 0, 1], 1]], 'hecke_orbit_code': 108086459809927472, 'p': 23}
  • id: 3589959
    {'charpoly_factorization': [[[-9, -9, 1], 2]], 'hecke_orbit_code': 108086459809927472, 'p': 29}
  • id: 3589960
    {'charpoly_factorization': [[[-43, 6, 1], 2]], 'hecke_orbit_code': 108086459809927472, 'p': 31}
  • id: 3589961
    {'charpoly_factorization': [[[529, 0, 98, 0, 1], 1]], 'hecke_orbit_code': 108086459809927472, 'p': 37}
  • id: 3589962
    {'charpoly_factorization': [[[-9, 4, 1], 2]], 'hecke_orbit_code': 108086459809927472, 'p': 41}
  • id: 3589963
    {'charpoly_factorization': [[[52, 0, 1], 2]], 'hecke_orbit_code': 108086459809927472, 'p': 43}
  • id: 3589964
    {'charpoly_factorization': [[[9, 0, 1], 2]], 'hecke_orbit_code': 108086459809927472, 'p': 47}
  • id: 3589965
    {'charpoly_factorization': [[[9, 0, 7, 0, 1], 1]], 'hecke_orbit_code': 108086459809927472, 'p': 53}
  • id: 3589966
    {'charpoly_factorization': [[[-3, 14, 1], 2]], 'hecke_orbit_code': 108086459809927472, 'p': 59}
  • id: 3589967
    {'charpoly_factorization': [[[-23, 5, 1], 2]], 'hecke_orbit_code': 108086459809927472, 'p': 61}
  • id: 3589968
    {'charpoly_factorization': [[[16, 0, 1], 2]], 'hecke_orbit_code': 108086459809927472, 'p': 67}
  • id: 3589969
    {'charpoly_factorization': [[[-12, 2, 1], 2]], 'hecke_orbit_code': 108086459809927472, 'p': 71}
  • id: 3589970
    {'charpoly_factorization': [[[529, 0, 71, 0, 1], 1]], 'hecke_orbit_code': 108086459809927472, 'p': 73}
  • id: 3589971
    {'charpoly_factorization': [[[1, 11, 1], 2]], 'hecke_orbit_code': 108086459809927472, 'p': 79}
  • id: 3589972
    {'charpoly_factorization': [[[2601, 0, 223, 0, 1], 1]], 'hecke_orbit_code': 108086459809927472, 'p': 83}
  • id: 3589973
    {'charpoly_factorization': [[[9, 7, 1], 2]], 'hecke_orbit_code': 108086459809927472, 'p': 89}
  • id: 3589974
    {'charpoly_factorization': [[[32041, 0, 371, 0, 1], 1]], 'hecke_orbit_code': 108086459809927472, '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': 25, 'label': '4400.2.b.y', 'level': 4400, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 66703813
    {'hecke_orbit_code': 108086459809927472, 'n': 1, 'trace_an': 4}
  • id: 66703814
    {'hecke_orbit_code': 108086459809927472, 'n': 2, 'trace_an': 0}
  • id: 66703815
    {'hecke_orbit_code': 108086459809927472, 'n': 3, 'trace_an': 0}
  • id: 66703816
    {'hecke_orbit_code': 108086459809927472, 'n': 4, 'trace_an': 0}
  • id: 66703817
    {'hecke_orbit_code': 108086459809927472, 'n': 5, 'trace_an': 0}
  • id: 66703818
    {'hecke_orbit_code': 108086459809927472, 'n': 6, 'trace_an': 0}
  • id: 66703819
    {'hecke_orbit_code': 108086459809927472, 'n': 7, 'trace_an': 0}
  • id: 66703820
    {'hecke_orbit_code': 108086459809927472, 'n': 8, 'trace_an': 0}
  • id: 66703821
    {'hecke_orbit_code': 108086459809927472, 'n': 9, 'trace_an': -2}
  • id: 66703822
    {'hecke_orbit_code': 108086459809927472, 'n': 10, 'trace_an': 0}
  • id: 66703823
    {'hecke_orbit_code': 108086459809927472, 'n': 11, 'trace_an': 4}
  • id: 66703824
    {'hecke_orbit_code': 108086459809927472, 'n': 12, 'trace_an': 0}
  • id: 66703825
    {'hecke_orbit_code': 108086459809927472, 'n': 13, 'trace_an': 0}
  • id: 66703826
    {'hecke_orbit_code': 108086459809927472, 'n': 14, 'trace_an': 0}
  • id: 66703827
    {'hecke_orbit_code': 108086459809927472, 'n': 15, 'trace_an': 0}
  • id: 66703828
    {'hecke_orbit_code': 108086459809927472, 'n': 16, 'trace_an': 0}
  • id: 66703829
    {'hecke_orbit_code': 108086459809927472, 'n': 17, 'trace_an': 0}
  • id: 66703830
    {'hecke_orbit_code': 108086459809927472, 'n': 18, 'trace_an': 0}
  • id: 66703831
    {'hecke_orbit_code': 108086459809927472, 'n': 19, 'trace_an': -4}
  • id: 66703832
    {'hecke_orbit_code': 108086459809927472, 'n': 20, 'trace_an': 0}
  • id: 66703833
    {'hecke_orbit_code': 108086459809927472, 'n': 21, 'trace_an': -8}
  • id: 66703834
    {'hecke_orbit_code': 108086459809927472, 'n': 22, 'trace_an': 0}
  • id: 66703835
    {'hecke_orbit_code': 108086459809927472, 'n': 23, 'trace_an': 0}
  • id: 66703836
    {'hecke_orbit_code': 108086459809927472, 'n': 24, 'trace_an': 0}
  • id: 66703837
    {'hecke_orbit_code': 108086459809927472, 'n': 25, 'trace_an': 0}
  • id: 66703838
    {'hecke_orbit_code': 108086459809927472, 'n': 26, 'trace_an': 0}
  • id: 66703839
    {'hecke_orbit_code': 108086459809927472, 'n': 27, 'trace_an': 0}
  • id: 66703840
    {'hecke_orbit_code': 108086459809927472, 'n': 28, 'trace_an': 0}
  • id: 66703841
    {'hecke_orbit_code': 108086459809927472, 'n': 29, 'trace_an': 18}
  • id: 66703842
    {'hecke_orbit_code': 108086459809927472, 'n': 30, 'trace_an': 0}
  • id: 66703843
    {'hecke_orbit_code': 108086459809927472, 'n': 31, 'trace_an': -12}
  • id: 66703844
    {'hecke_orbit_code': 108086459809927472, 'n': 32, 'trace_an': 0}
  • id: 66703845
    {'hecke_orbit_code': 108086459809927472, 'n': 33, 'trace_an': 0}
  • id: 66703846
    {'hecke_orbit_code': 108086459809927472, 'n': 34, 'trace_an': 0}
  • id: 66703847
    {'hecke_orbit_code': 108086459809927472, 'n': 35, 'trace_an': 0}
  • id: 66703848
    {'hecke_orbit_code': 108086459809927472, 'n': 36, 'trace_an': 0}
  • id: 66703849
    {'hecke_orbit_code': 108086459809927472, 'n': 37, 'trace_an': 0}
  • id: 66703850
    {'hecke_orbit_code': 108086459809927472, 'n': 38, 'trace_an': 0}
  • id: 66703851
    {'hecke_orbit_code': 108086459809927472, 'n': 39, 'trace_an': 10}
  • id: 66703852
    {'hecke_orbit_code': 108086459809927472, 'n': 40, 'trace_an': 0}
  • id: 66703853
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  • id: 66703860
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  • id: 66703866
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  • id: 66703868
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  • id: 66703946
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  • id: 66704045
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  • id: 66704046
    {'hecke_orbit_code': 108086459809927472, 'n': 839, 'trace_an': 14}
  • id: 66704047
    {'hecke_orbit_code': 108086459809927472, 'n': 841, 'trace_an': 82}
  • id: 66704048
    {'hecke_orbit_code': 108086459809927472, 'n': 853, 'trace_an': 0}
  • id: 66704049
    {'hecke_orbit_code': 108086459809927472, 'n': 857, 'trace_an': 0}
  • id: 66704050
    {'hecke_orbit_code': 108086459809927472, 'n': 859, 'trace_an': 180}
  • id: 66704051
    {'hecke_orbit_code': 108086459809927472, 'n': 863, 'trace_an': 0}
  • id: 66704052
    {'hecke_orbit_code': 108086459809927472, 'n': 877, 'trace_an': 0}
  • id: 66704053
    {'hecke_orbit_code': 108086459809927472, 'n': 881, 'trace_an': -30}
  • id: 66704054
    {'hecke_orbit_code': 108086459809927472, 'n': 883, 'trace_an': 0}
  • id: 66704055
    {'hecke_orbit_code': 108086459809927472, 'n': 887, 'trace_an': 0}
  • id: 66704056
    {'hecke_orbit_code': 108086459809927472, 'n': 907, 'trace_an': 0}
  • id: 66704057
    {'hecke_orbit_code': 108086459809927472, 'n': 911, 'trace_an': 128}
  • id: 66704058
    {'hecke_orbit_code': 108086459809927472, 'n': 919, 'trace_an': 136}
  • id: 66704059
    {'hecke_orbit_code': 108086459809927472, 'n': 929, 'trace_an': -200}
  • id: 66704060
    {'hecke_orbit_code': 108086459809927472, 'n': 937, 'trace_an': 0}
  • id: 66704061
    {'hecke_orbit_code': 108086459809927472, 'n': 941, 'trace_an': 224}
  • id: 66704062
    {'hecke_orbit_code': 108086459809927472, 'n': 947, 'trace_an': 0}
  • id: 66704063
    {'hecke_orbit_code': 108086459809927472, 'n': 953, 'trace_an': 0}
  • id: 66704064
    {'hecke_orbit_code': 108086459809927472, 'n': 961, 'trace_an': 120}
  • id: 66704065
    {'hecke_orbit_code': 108086459809927472, 'n': 967, 'trace_an': 0}
  • id: 66704066
    {'hecke_orbit_code': 108086459809927472, 'n': 971, 'trace_an': -30}
  • id: 66704067
    {'hecke_orbit_code': 108086459809927472, 'n': 977, 'trace_an': 0}
  • id: 66704068
    {'hecke_orbit_code': 108086459809927472, 'n': 983, 'trace_an': 0}
  • id: 66704069
    {'hecke_orbit_code': 108086459809927472, 'n': 991, 'trace_an': 46}
  • id: 66704070
    {'hecke_orbit_code': 108086459809927472, 'n': 997, 'trace_an': 0}