Embedded newform data - 14.8.a.b.1.1

Formats: - HTML - YAML - JSON - 2026-03-07T20:28:58.678225

• 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': 896, 'analytic_conductor': 4.373390356777705, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [14, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [66, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599761588238, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '14.8.a.b', 'level': 14, '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': True, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '14.8.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+8q^{2}-66q^{3}+2^{6}q^{4}-20^{2}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '14.8.a', 'trace_display': [8, -66, -400, -343], 'trace_hash': 1367640409635969881, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.011', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.029', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.085', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 8, -66, 64, -400, -528, -343, 512, 2169, -3200, 40, -4224, -4452, -2744, 26400, 4096, 36502, 17352, -46222, -25600, 22638, 320, -105200, -33792, 81875, -35616, 1188, -21952, -126334, 211200, -170964, 32768, -2640, 292016, 137200, 138816, 20954, -369776, 293832, -204800, 318486, 181104, 77744, 2560, -867600, -841600, 703716, -270336, 117649, 655000, -2409132, -284928, 1603278, 9504, -16000, -175616, 3050652, -1010672, -1171894, 1689600, -2068872, -1367712, -743967, 262144, 1780800, -21120, -994268, 2336128, 6943200, 1097600, 33280, 1110528, -2971454, 167632, -5403750, -2958208, -13720, 2350656, -2376168, -1638400, -4822011, 2547888, -2122358, 1448832, -14600800, 621952, 8338044, 20480, 6920346, -6940800, 1527036, -6732800, 11283624, 5629728, 18488800, -2162688, 4952710, 941192, 86760, 5240000, 3230000, -19273056, -1799092, -2279424, -9055200, 12826224, -15642876, 76032, -6318902, 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• 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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0.0]], 'angles': [None, -0.37467251976890437, -0.3769100427111369, None, -0.2492789303522833, -0.2953348825590124, -0.07142426744785792, -0.39062310996083355, -0.42874558122423784, -0.3298535365357364, -0.3361704592344661, -0.2445870405842719, -0.1912447126824374, -0.23812262091867759, -0.16770506495737575, -0.11750075196920848, -0.31056611123978717, -0.3491607869519031, -0.28236149168280655, -0.24912184447779484, -0.32375407521584526, -0.2936960592433465, -0.28265021043964556, -0.16291476043314404, -0.2055793229847141, -0.22507445597126446, -0.26292381128287884, -0.3558715513757621, -0.2875381712408087, -0.30410483806092137, -0.22923242390320442, -0.18431889210910726, -0.23739594424067245, -0.26272371987452176, -0.30482842807419563, -0.23778230862829433, -0.36271173270522244, -0.11439385087645633, -0.20896795716839156, -0.3132731063282428, -0.15747909094415993, -0.36293985348107083, -0.36216807567684695, -0.1176779692384973, -0.12068810625203716, -0.2595399162347585, 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• 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

  
  {'ALdims': [1, 0, 1, 2], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1], 'ALdims_old': [3, 2, 2, 1], 'Nk2': 896, 'analytic_conductor': 4.373390356777705, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [14, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 12, 'dim': 4, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 134217742, 'hecke_orbit_dims': [1, 1, 2], 'label': '14.8.a', 'level': 14, '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': True, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 16, 'mf_new_dim': 4, 'num_forms': 3, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 4, 'sturm_bound': 16, 'trace_bound': 2, 'trace_display': [16, -78, 174, 0], 'traces': [4, 16, -78, 256, 174, 688, 0, 1024, 8720, 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• 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: 34437200
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599761588238, 'target_is_minimal': True, 'target_label': '14.8.a.b.1.1', 'target_level': 14, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 34437201
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199388958846, 'target_is_minimal': False, 'target_label': '126.8.a.c.1.1', 'target_level': 126, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 34437202
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799016329328, 'target_is_minimal': False, 'target_label': '112.8.a.d.1.1', 'target_level': 112, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 34437203
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503737200542046, 'target_is_minimal': False, 'target_label': '350.8.c.b.99.2', 'target_level': 350, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 34437204
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737200542046, 'target_is_minimal': False, 'target_label': '350.8.c.b.99.1', 'target_level': 350, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 34437205
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799016329566, 'target_is_minimal': False, 'target_label': '350.8.a.d.1.1', 'target_level': 350, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 8}
  • id: 34437206
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737200541794, 'target_is_minimal': False, 'target_label': '98.8.c.b.67.1', 'target_level': 98, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 34437207
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137573171298, 'target_is_minimal': False, 'target_label': '98.8.c.a.79.1', 'target_level': 98, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 34437208
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737200541794, 'target_is_minimal': False, 'target_label': '98.8.c.b.79.1', 'target_level': 98, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 8}
  • id: 34437209
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137573171298, 'target_is_minimal': False, 'target_label': '98.8.c.a.67.1', 'target_level': 98, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 34437210
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199388958818, 'target_is_minimal': False, 'target_label': '98.8.a.c.1.1', 'target_level': 98, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 8}
  • id: 34437211
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599761588672, 'target_is_minimal': False, 'target_label': '448.8.a.b.1.1', 'target_level': 448, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 34437212
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588238, 'source_is_minimal': True, 'source_label': '14.8.a.b.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797153182144, 'target_is_minimal': False, 'target_label': '448.8.a.i.1.1', 'target_level': 448, 'twist_class_label': '14.8.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 57150
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 2}
  • id: 57151
    {'charpoly_factorization': [[[66, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 3}
  • id: 57152
    {'charpoly_factorization': [[[400, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 5}
  • id: 57153
    {'charpoly_factorization': [[[343, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 7}
  • id: 57154
    {'charpoly_factorization': [[[-40, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 11}
  • id: 57155
    {'charpoly_factorization': [[[4452, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 13}
  • id: 57156
    {'charpoly_factorization': [[[-36502, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 17}
  • id: 57157
    {'charpoly_factorization': [[[46222, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 19}
  • id: 57158
    {'charpoly_factorization': [[[105200, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 23}
  • id: 57159
    {'charpoly_factorization': [[[126334, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 29}
  • id: 57160
    {'charpoly_factorization': [[[170964, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 31}
  • id: 57161
    {'charpoly_factorization': [[[-20954, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 37}
  • id: 57162
    {'charpoly_factorization': [[[-318486, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 41}
  • id: 57163
    {'charpoly_factorization': [[[-77744, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 43}
  • id: 57164
    {'charpoly_factorization': [[[-703716, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 47}
  • id: 57165
    {'charpoly_factorization': [[[-1603278, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 53}
  • id: 57166
    {'charpoly_factorization': [[[1171894, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 59}
  • id: 57167
    {'charpoly_factorization': [[[2068872, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 61}
  • id: 57168
    {'charpoly_factorization': [[[994268, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 67}
  • id: 57169
    {'charpoly_factorization': [[[-33280, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 71}
  • id: 57170
    {'charpoly_factorization': [[[2971454, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 73}
  • id: 57171
    {'charpoly_factorization': [[[2376168, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 79}
  • id: 57172
    {'charpoly_factorization': [[[2122358, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 83}
  • id: 57173
    {'charpoly_factorization': [[[-6920346, 1], 1]], 'hecke_orbit_code': 4503599761588238, 'p': 89}
  • id: 57174
    {'charpoly_factorization': [[[-4952710, 1], 1]], 'hecke_orbit_code': 4503599761588238, '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': 1, 'hecke_orbit': 2, 'label': '14.8.a.b', 'level': 14, 'portrait': 'data:image/png;base64,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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 19524990
    {'hecke_orbit_code': 4503599761588238, 'n': 1, 'trace_an': 1}
  • id: 19524991
    {'hecke_orbit_code': 4503599761588238, 'n': 2, 'trace_an': 8}
  • id: 19524992
    {'hecke_orbit_code': 4503599761588238, 'n': 3, 'trace_an': -66}
  • id: 19524993
    {'hecke_orbit_code': 4503599761588238, 'n': 4, 'trace_an': 64}
  • id: 19524994
    {'hecke_orbit_code': 4503599761588238, 'n': 5, 'trace_an': -400}
  • id: 19524995
    {'hecke_orbit_code': 4503599761588238, 'n': 6, 'trace_an': -528}
  • id: 19524996
    {'hecke_orbit_code': 4503599761588238, 'n': 7, 'trace_an': -343}
  • id: 19524997
    {'hecke_orbit_code': 4503599761588238, 'n': 8, 'trace_an': 512}
  • id: 19524998
    {'hecke_orbit_code': 4503599761588238, 'n': 9, 'trace_an': 2169}
  • id: 19524999
    {'hecke_orbit_code': 4503599761588238, 'n': 10, 'trace_an': -3200}
  • id: 19525000
    {'hecke_orbit_code': 4503599761588238, 'n': 11, 'trace_an': 40}
  • id: 19525001
    {'hecke_orbit_code': 4503599761588238, 'n': 12, 'trace_an': -4224}
  • id: 19525002
    {'hecke_orbit_code': 4503599761588238, 'n': 13, 'trace_an': -4452}
  • id: 19525003
    {'hecke_orbit_code': 4503599761588238, 'n': 14, 'trace_an': -2744}
  • id: 19525004
    {'hecke_orbit_code': 4503599761588238, 'n': 15, 'trace_an': 26400}
  • id: 19525005
    {'hecke_orbit_code': 4503599761588238, 'n': 16, 'trace_an': 4096}
  • id: 19525006
    {'hecke_orbit_code': 4503599761588238, 'n': 17, 'trace_an': 36502}
  • id: 19525007
    {'hecke_orbit_code': 4503599761588238, 'n': 18, 'trace_an': 17352}
  • id: 19525008
    {'hecke_orbit_code': 4503599761588238, 'n': 19, 'trace_an': -46222}
  • id: 19525009
    {'hecke_orbit_code': 4503599761588238, 'n': 20, 'trace_an': -25600}
  • id: 19525010
    {'hecke_orbit_code': 4503599761588238, 'n': 21, 'trace_an': 22638}
  • id: 19525011
    {'hecke_orbit_code': 4503599761588238, 'n': 22, 'trace_an': 320}
  • id: 19525012
    {'hecke_orbit_code': 4503599761588238, 'n': 23, 'trace_an': -105200}
  • id: 19525013
    {'hecke_orbit_code': 4503599761588238, 'n': 24, 'trace_an': -33792}
  • id: 19525014
    {'hecke_orbit_code': 4503599761588238, 'n': 25, 'trace_an': 81875}
  • id: 19525015
    {'hecke_orbit_code': 4503599761588238, 'n': 26, 'trace_an': -35616}
  • id: 19525016
    {'hecke_orbit_code': 4503599761588238, 'n': 27, 'trace_an': 1188}
  • id: 19525017
    {'hecke_orbit_code': 4503599761588238, 'n': 28, 'trace_an': -21952}
  • id: 19525018
    {'hecke_orbit_code': 4503599761588238, 'n': 29, 'trace_an': -126334}
  • id: 19525019
    {'hecke_orbit_code': 4503599761588238, 'n': 30, 'trace_an': 211200}
  • id: 19525020
    {'hecke_orbit_code': 4503599761588238, 'n': 31, 'trace_an': -170964}
  • id: 19525021
    {'hecke_orbit_code': 4503599761588238, 'n': 32, 'trace_an': 32768}
  • id: 19525022
    {'hecke_orbit_code': 4503599761588238, 'n': 33, 'trace_an': -2640}
  • id: 19525023
    {'hecke_orbit_code': 4503599761588238, 'n': 34, 'trace_an': 292016}
  • id: 19525024
    {'hecke_orbit_code': 4503599761588238, 'n': 35, 'trace_an': 137200}
  • id: 19525025
    {'hecke_orbit_code': 4503599761588238, 'n': 36, 'trace_an': 138816}
  • id: 19525026
    {'hecke_orbit_code': 4503599761588238, 'n': 37, 'trace_an': 20954}
  • id: 19525027
    {'hecke_orbit_code': 4503599761588238, 'n': 38, 'trace_an': -369776}
  • id: 19525028
    {'hecke_orbit_code': 4503599761588238, 'n': 39, 'trace_an': 293832}
  • id: 19525029
    {'hecke_orbit_code': 4503599761588238, 'n': 40, 'trace_an': -204800}
  • id: 19525030
    {'hecke_orbit_code': 4503599761588238, 'n': 41, 'trace_an': 318486}
  • id: 19525031
    {'hecke_orbit_code': 4503599761588238, 'n': 42, 'trace_an': 181104}
  • id: 19525032
    {'hecke_orbit_code': 4503599761588238, 'n': 43, 'trace_an': 77744}
  • id: 19525033
    {'hecke_orbit_code': 4503599761588238, 'n': 44, 'trace_an': 2560}
  • id: 19525034
    {'hecke_orbit_code': 4503599761588238, 'n': 45, 'trace_an': -867600}
  • id: 19525035
    {'hecke_orbit_code': 4503599761588238, 'n': 46, 'trace_an': -841600}
  • id: 19525036
    {'hecke_orbit_code': 4503599761588238, 'n': 47, 'trace_an': 703716}
  • id: 19525037
    {'hecke_orbit_code': 4503599761588238, 'n': 48, 'trace_an': -270336}
  • id: 19525038
    {'hecke_orbit_code': 4503599761588238, 'n': 49, 'trace_an': 117649}
  • id: 19525039
    {'hecke_orbit_code': 4503599761588238, 'n': 50, 'trace_an': 655000}
  • id: 19525040
    {'hecke_orbit_code': 4503599761588238, 'n': 51, 'trace_an': -2409132}
  • id: 19525041
    {'hecke_orbit_code': 4503599761588238, 'n': 52, 'trace_an': -284928}
  • id: 19525042
    {'hecke_orbit_code': 4503599761588238, 'n': 53, 'trace_an': 1603278}
  • id: 19525043
    {'hecke_orbit_code': 4503599761588238, 'n': 54, 'trace_an': 9504}
  • id: 19525044
    {'hecke_orbit_code': 4503599761588238, 'n': 55, 'trace_an': -16000}
  • id: 19525045
    {'hecke_orbit_code': 4503599761588238, 'n': 56, 'trace_an': -175616}
  • id: 19525046
    {'hecke_orbit_code': 4503599761588238, 'n': 57, 'trace_an': 3050652}
  • id: 19525047
    {'hecke_orbit_code': 4503599761588238, 'n': 58, 'trace_an': -1010672}
  • id: 19525048
    {'hecke_orbit_code': 4503599761588238, 'n': 59, 'trace_an': -1171894}
  • id: 19525049
    {'hecke_orbit_code': 4503599761588238, 'n': 60, 'trace_an': 1689600}
  • id: 19525050
    {'hecke_orbit_code': 4503599761588238, 'n': 61, 'trace_an': -2068872}
  • id: 19525051
    {'hecke_orbit_code': 4503599761588238, 'n': 62, 'trace_an': -1367712}
  • id: 19525052
    {'hecke_orbit_code': 4503599761588238, 'n': 63, 'trace_an': -743967}
  • id: 19525053
    {'hecke_orbit_code': 4503599761588238, 'n': 64, 'trace_an': 262144}
  • id: 19525054
    {'hecke_orbit_code': 4503599761588238, 'n': 65, 'trace_an': 1780800}
  • id: 19525055
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  • id: 19525242
    {'hecke_orbit_code': 4503599761588238, 'n': 967, 'trace_an': 25579109264}
  • id: 19525243
    {'hecke_orbit_code': 4503599761588238, 'n': 971, 'trace_an': 41032282794}
  • id: 19525244
    {'hecke_orbit_code': 4503599761588238, 'n': 977, 'trace_an': 48727686138}
  • id: 19525245
    {'hecke_orbit_code': 4503599761588238, 'n': 983, 'trace_an': -6947617428}
  • id: 19525246
    {'hecke_orbit_code': 4503599761588238, 'n': 991, 'trace_an': -18356454496}
  • id: 19525247
    {'hecke_orbit_code': 4503599761588238, 'n': 997, 'trace_an': 34495366616}