Embedded newform data - 1764.4.a.u.1.2

Formats: - HTML - YAML - JSON - 2026-01-14T22:55:13.068408

• 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': 28224, 'analytic_conductor': 104.07936925012645, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 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': [1764, 1, [883, 785, 1081], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 385, 'field_disc_factorization': [[5, 1], [7, 1], [11, 1]], 'field_poly': [-96, -1, 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': 1, 'hecke_cutters': [[5, [-385, 0, 1]], [11, [-385, 0, 1]], [13, [-54, 1]]], 'hecke_orbit': 21, 'hecke_orbit_code': 90071992614520548, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1764.4.a.u', 'level': 1764, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '252.4.k.e', 'nf_label': '2.2.385.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta q^{5}-\\beta q^{11}+54q^{13}-2\\beta q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1764.4.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 2051380969614689155, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.073', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.885', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.609', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.338', 'prec': 20}, {'__RealLiteral__': 0, 'data': '5.613', 'prec': 17}, {'__RealLiteral__': 0, 'data': '137.574', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 520, 0, 0, 0, 0, 0, -402, 0, 0, 0, 0, 0, -404, 0, 0, 0, 0, 0, -488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 770, 0, 0, 0, 0, 0, 1176, 0, 0, 0, 0, 0, -604, 0, 0, 0, 0, 0, 892, 0, 0, 0, 0, 0, -534, 0, 0, 0, 0, 0, 1540, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1190, 0, 0, 0, 0, 0, -3328, 0, 0, 0, 0, 0, 716, 0, 0, 0, 0, 0, 7700, 0, 0, 0, 0, 0, -1892, 0, 0, 0, 0, 0, 4254, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4876, 0, 0, 0, 0, 0, 3850, 0, 0, 0, 0, 0, -1894, 0, 0, 0, 0, 0, 3080, 0, 0, 0, 0, 0, -2180, 0, 0, 0, 0, 0, 1438, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4008, 0, 0, 0, 0, 0, 1540, 0, 0, 0, 0, 0, 9298, 0, 0, 0, 0, 0, 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147840, 0, 0, 0, 0, 0, 53036, 0, 0, 0, 0, 0, 107868, 0, 0, 0, 0, 0, -238700, 0, 0, 0, 0, 0, -153230, 0, 0, 0, 0, 0, 144760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 101780, 0, 0, 0, 0, 0, 79310, 0, 0, 0, 0, 0, -614460, 0, 0, 0, 0, 0, -432516, 0, 0, 0, 0, 0, 422064, 0, 0, 0, 0, 0, -6160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 845460, 0, 0, 0, 0, 0], 'weight': 4, '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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• 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': [0, 0, 0, 0, 8, 12, 16, 15], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [16, 16, 16, 16, 8, 8, 8, 8], 'ALdims_old': [120, 116, 116, 120, 112, 112, 108, 105], 'Nk2': 28224, 'analytic_conductor': 104.07936925012645, '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': [1764, 1, [883, 785, 1081], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 960, 'dim': 51, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13], 'hecke_orbit_code': 67110628, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4], 'label': '1764.4.a', 'level': 1764, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 1056, 'mf_new_dim': 51, 'num_forms': 29, 'plus_dim': 28, 'prim_orbit_index': 1, 'relative_dim': 51, 'sturm_bound': 1344, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [51, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, -4, 0, 0, 0, 30, 0, 54, 0, 0, 0, 56, 0, 1341, 0, 0, 0, -214, 0, 68, 0, 0, 0, 0, 0, -486, 0, 0, 0, -162, 0, -44, 0, 0, 0, -492, 0, 0, 0, 0, 0, 298, 0, 352, 0, 0, 0, 162, 0, 512, 0, 0, 0, 408, 0, -372, 0, 0, 0, -480, 0, -674, 0, 0, 0, 0, 0, 112, 0, 0, 0, -798, 0, 1948, 0, 0, 0, -2862, 0, 0, 0, 0, 0, 5224, 0, 1258, 0, 0, 0, 1152, 0, 3396, 0, 0, 0, 5012, 0, -670, 0, 0, 0, 690, 0, -704, 0, 0, 0, 0, 0, 6763, 0, 0, 0, -3168, 0, 8008, 0, 0, 0, -7878, 0, 0, 0, 0, 0, 1242, 0, 202, 0, 0, 0, 3552, 0, 5504, 0, 0, 0, 8962, 0, -1112, 0, 0, 0, -6192, 0, -1332, 0, 0, 0, 0, 0, 2316, 0, 0, 0, 276, 0, 20161, 0, 0, 0, -12108, 0, 0, 0, 0, 0, 7116, 0, 4580, 0, 0, 0, 5664, 0, 11888, 0, 0, 0, 3752, 0, 8370, 0, 0, 0, -8626, 0, -8532, 0, 0, 0, 0, 0, -4664, 0, 0, 0, -7824, 0, 4316, 0, 0, 0, -20640, 0, 0, 0, 0, 0, 15792, 0, -456, 0, 0, 0, 6906, 0, 14236, 0, 0, 0, 19722, 0, 3888, 0, 0, 0, 2088, 0, -5814, 0, 0, 0, 0, 0, 1624, 0, 0, 0, 822, 0, 19396, 0, 0, 0, -20502, 0, 0, 0, 0, 0, 27240, 0, 6528, 0, 0, 0, 8148, 0, 16400, 0, 0, 0, 5028, 0, 686, 0, 0, 0, 10078, 0, 1966, 0, 0, 0, 0, 0, 10801, 0, 0, 0, -11592, 0, 26664, 0, 0, 0, -27360, 0, 0, 0, 0, 0, 38228, 0, -1130, 0, 0, 0, 12744, 0, 13978, 0, 0, 0, 34834, 0, 6768, 0, 0, 0, -40352, 0, -16780, 0, 0, 0, 0, 0, 16084, 0, 0, 0, 4416, 0, 4650, 0, 0, 0, -13920, 0, 0, 0, 0, 0, 23772, 0, 9508, 0, 0, 0, 5514, 0, 21184, 0, 0, 0, -2336, 0, 28547, 0, 0, 0, -5212, 0, -4008, 0, 0, 0, 0, 0, 29870, 0, 0, 0, -19464, 0, 40116, 0, 0, 0, -24348, 0, 0, 0, 0, 0, -18586, 0, -12256, 0, 0, 0, 2880, 0, 212, 0, 0, 0, 34554, 0, -24768, 0, 0, 0, 22936, 0, 18738, 0, 0, 0, 0, 0, -31168, 0, 0, 0, 16398, 0, 21298, 0, 0, 0, -1350, 0, 0, 0, 0, 0, -24168, 0, 29106, 0, 0, 0, -6336, 0, 7064, 0, 0, 0, -44596, 0, -16932, 0, 0, 0, -7542, 0, -32784, 0, 0, 0, 0, 0, -6214, 0, 0, 0, -24756, 0, -34112, 0, 0, 0, -3486, 0, 0, 0, 0, 0, -20584, 0, -22430, 0, 0, 0, 6492, 0, -8840, 0, 0, 0, 24136, 0, -13128, 0, 0, 0, -40452, 0, 16708, 0, 0, 0, 0, 0, 11612, 0, 0, 0, 32064, 0, -1060, 0, 0, 0, 32580, 0, 0, 0, 0, 0, 5744, 0, 6144, 0, 0, 0, -12354, 0, -19338, 0, 0, 0, 816, 0, 66575, 0, 0, 0, 70896, 0, 39744, 0, 0, 0, 0, 0, -44842, 0, 0, 0, -34080, 0, -35188, 0, 0, 0, 24660, 0, 0, 0, 0, 0, 6474, 0, -4736, 0, 0, 0, -12282, 0, -32416, 0, 0, 0, -36278, 0, -55692, 0, 0, 0, 408, 0, -41810, 0, 0, 0, 0, 0, -7832, 0, 0, 0, 52926, 0, -32004, 0, 0, 0, 52242, 0, 0, 0, 0, 0, -29968, 0, 24918, 0, 0, 0, -27264, 0, -448, 0, 0, 0, -51936, 0, 46466, 0, 0, 0, 35590, 0, 30526, 0, 0, 0, 0, 0, 33163, 0, 0, 0, -31380, 0, -23392, 0, 0, 0, 39552, 0, 0, 0, 0, 0, -62134, 0, -76278, 0, 0, 0, -3660, 0, -76688, 0, 0, 0, -67098, 0, -118200, 0, 0, 0, 16644, 0, 100528, 0, 0, 0, 0, 0, -41440, 0, 0, 0, 48768, 0, -126310, 0, 0, 0, 83988, 0, 0, 0, 0, 0, -35028, 0, 47264, 0, 0, 0, -36696, 0, -33882, 0, 0, 0, -13592, 0, 27136, 0, 0, 0, 23658, 0, -112068, 0, 0, 0, 0, 0, -17182, 0, 0, 0, -16896, 0, -139952, 0, 0, 0, 52236, 0, 0, 0, 0, 0, -141954, 0, -55148, 0, 0, 0, -23328, 0, -54112, 0, 0, 0, 9252, 0, 27996, 0, 0, 0, -110312, 0, 35520, 0, 0, 0, 0, 0, 21632, 0, 0, 0, 96960, 0, 67846, 0, 0, 0, 104070, 0, 0, 0, 0, 0, 5568, 0, -13694, 0, 0, 0, -36648, 0, -79924, 0, 0, 0, -144056, 0, 49808, 0, 0, 0, 58492, 0, 130190, 0, 0, 0, 0, 0, -84288, 0, 0, 0, -43596, 0, -56024, 0, 0, 0, 44208, 0, 0, 0, 0, 0, -73738, 0, 2326, 0, 0, 0, 14496, 0, -38016, 0, 0, 0, -21294, 0, -148000, 0, 0, 0, -15036, 0, -127808, 0, 0, 0, 0, 0, 92880, 0, 0, 0, 81036, 0, -79451, 0, 0, 0, 101280, 0, 0, 0, 0, 0, 29696, 0, 4668, 0, 0, 0, -57402, 0, 15498, 0, 0, 0, -135784, 0, 85900, 0, 0, 0, 151196, 0, 22384, 0, 0, 0, 0, 0, 23498, 0, 0, 0, -81246, 0, -115004, 0, 0, 0, 54780, 0, 0, 0, 0, 0, -58628, 0, -118080, 0, 0, 0, -30216, 0, -107652, 0, 0, 0, 31008, 0, -89908, 0, 0, 0, -712, 0, 194960, 0, 0, 0, 0, 0, -267936, 0, 0, 0, 129504, 0, -75038, 0, 0, 0, 74238, 0, 0, 0, 0, 0, -113632, 0, 122766, 0, 0, 0, -43608, 0, -38112, 0, 0, 0, -66348, 0, -3888, 0, 0, 0, 70906, 0, -193728, 0, 0, 0, 0, 0, 535, 0, 0, 0, -53088, 0, -153840, 0, 0, 0, 22818, 0, 0, 0, 0, 0, 25746, 0, -95280, 0, 0, 0, 77628, 0, -13184, 0, 0, 0, 60640, 0, -24240, 0, 0, 0, -31536, 0, 88608, 0, 0, 0], 'weight': 4, '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: 48353165
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992614520548, 'source_is_minimal': False, 'source_label': '1764.4.a.u.1.2', 'source_level': 1764, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 90071992614520548, 'target_is_minimal': False, 'target_label': '1764.4.a.u.1.2', 'target_level': 1764, 'twist_class_label': '252.4.k.e.37.1', 'twist_class_level': 252, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48353166
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992614520548, 'source_is_minimal': False, 'source_label': '1764.4.a.u.1.2', 'source_level': 1764, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90071992614520548, 'target_is_minimal': False, 'target_label': '1764.4.a.u.1.1', 'target_level': 1764, 'twist_class_label': '252.4.k.e.37.1', 'twist_class_level': 252, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48353167
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992614520548, 'source_is_minimal': False, 'source_label': '1764.4.a.u.1.2', 'source_level': 1764, 'target_conrey_index': 361, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 103583478691399396, 'target_is_minimal': False, 'target_label': '1764.4.k.x.361.1', 'target_level': 1764, 'twist_class_label': '252.4.k.e.37.1', 'twist_class_level': 252, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48353168
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992614520548, 'source_is_minimal': False, 'source_label': '1764.4.a.u.1.2', 'source_level': 1764, 'target_conrey_index': 37, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015085771358460, 'target_is_minimal': True, 'target_label': '252.4.k.e.37.2', 'target_level': 252, 'twist_class_label': '252.4.k.e.37.1', 'twist_class_level': 252, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48353169
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992614520548, 'source_is_minimal': False, 'source_label': '1764.4.a.u.1.2', 'source_level': 1764, 'target_conrey_index': 1549, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 103583478691399396, 'target_is_minimal': False, 'target_label': '1764.4.k.x.1549.1', 'target_level': 1764, 'twist_class_label': '252.4.k.e.37.1', 'twist_class_level': 252, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48353170
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992614520548, 'source_is_minimal': False, 'source_label': '1764.4.a.u.1.2', 'source_level': 1764, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015085771358460, 'target_is_minimal': True, 'target_label': '252.4.k.e.109.2', 'target_level': 252, 'twist_class_label': '252.4.k.e.37.1', 'twist_class_level': 252, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48353171
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992614520548, 'source_is_minimal': False, 'source_label': '1764.4.a.u.1.2', 'source_level': 1764, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76561193732409060, 'target_is_minimal': False, 'target_label': '1764.4.a.r.1.1', 'target_level': 1764, 'twist_class_label': '252.4.k.e.37.1', 'twist_class_level': 252, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 48353172
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992614520548, 'source_is_minimal': False, 'source_label': '1764.4.a.u.1.2', 'source_level': 1764, 'target_conrey_index': 361, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 103583478691399396, 'target_is_minimal': False, 'target_label': '1764.4.k.x.361.2', 'target_level': 1764, 'twist_class_label': '252.4.k.e.37.1', 'twist_class_level': 252, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48353173
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992614520548, 'source_is_minimal': False, 'source_label': '1764.4.a.u.1.2', 'source_level': 1764, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18015085771358460, 'target_is_minimal': True, 'target_label': '252.4.k.e.109.1', 'target_level': 252, 'twist_class_label': '252.4.k.e.37.1', 'twist_class_level': 252, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48353174
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992614520548, 'source_is_minimal': False, 'source_label': '1764.4.a.u.1.2', 'source_level': 1764, 'target_conrey_index': 1549, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 103583478691399396, 'target_is_minimal': False, 'target_label': '1764.4.k.x.1549.2', 'target_level': 1764, 'twist_class_label': '252.4.k.e.37.1', 'twist_class_level': 252, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48353175
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992614520548, 'source_is_minimal': False, 'source_label': '1764.4.a.u.1.2', 'source_level': 1764, 'target_conrey_index': 37, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18015085771358460, 'target_is_minimal': True, 'target_label': '252.4.k.e.37.1', 'target_level': 252, 'twist_class_label': '252.4.k.e.37.1', 'twist_class_level': 252, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 4}
  • id: 48353176
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992614520548, 'source_is_minimal': False, 'source_label': '1764.4.a.u.1.2', 'source_level': 1764, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 76561193732409060, 'target_is_minimal': False, 'target_label': '1764.4.a.r.1.2', 'target_level': 1764, 'twist_class_label': '252.4.k.e.37.1', 'twist_class_level': 252, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2190775
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 90071992614520548, 'p': 2}
  • id: 2190776
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 90071992614520548, 'p': 3}
  • id: 2190777
    {'charpoly_factorization': [[[-385, 0, 1], 1]], 'hecke_orbit_code': 90071992614520548, 'p': 5}
  • id: 2190778
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 90071992614520548, 'p': 7}
  • id: 2190779
    {'charpoly_factorization': [[[-385, 0, 1], 1]], 'hecke_orbit_code': 90071992614520548, 'p': 11}
  • id: 2190780
    {'charpoly_factorization': [[[-54, 1], 2]], 'hecke_orbit_code': 90071992614520548, 'p': 13}
  • id: 2190781
    {'charpoly_factorization': [[[-1540, 0, 1], 1]], 'hecke_orbit_code': 90071992614520548, 'p': 17}
  • id: 2190782
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 90071992614520548, 'p': 19}
  • id: 2190783
    {'charpoly_factorization': [[[-38500, 0, 1], 1]], 'hecke_orbit_code': 90071992614520548, 'p': 23}
  • id: 2190784
    {'charpoly_factorization': [[[-9625, 0, 1], 1]], 'hecke_orbit_code': 90071992614520548, 'p': 29}
  • id: 2190785
    {'charpoly_factorization': [[[201, 1], 2]], 'hecke_orbit_code': 90071992614520548, 'p': 31}
  • id: 2190786
    {'charpoly_factorization': [[[202, 1], 2]], 'hecke_orbit_code': 90071992614520548, 'p': 37}
  • id: 2190787
    {'charpoly_factorization': [[[-221760, 0, 1], 1]], 'hecke_orbit_code': 90071992614520548, 'p': 41}
  • id: 2190788
    {'charpoly_factorization': [[[244, 1], 2]], 'hecke_orbit_code': 90071992614520548, 'p': 43}
  • id: 2190789
    {'charpoly_factorization': [[[-55440, 0, 1], 1]], 'hecke_orbit_code': 90071992614520548, 'p': 47}
  • id: 2190790
    {'charpoly_factorization': [[[-419265, 0, 1], 1]], 'hecke_orbit_code': 90071992614520548, 'p': 53}
  • id: 2190791
    {'charpoly_factorization': [[[-369985, 0, 1], 1]], 'hecke_orbit_code': 90071992614520548, 'p': 59}
  • id: 2190792
    {'charpoly_factorization': [[[-588, 1], 2]], 'hecke_orbit_code': 90071992614520548, 'p': 61}
  • id: 2190793
    {'charpoly_factorization': [[[302, 1], 2]], 'hecke_orbit_code': 90071992614520548, 'p': 67}
  • id: 2190794
    {'charpoly_factorization': [[[-24640, 0, 1], 1]], 'hecke_orbit_code': 90071992614520548, 'p': 71}
  • id: 2190795
    {'charpoly_factorization': [[[-446, 1], 2]], 'hecke_orbit_code': 90071992614520548, 'p': 73}
  • id: 2190796
    {'charpoly_factorization': [[[267, 1], 2]], 'hecke_orbit_code': 90071992614520548, 'p': 79}
  • id: 2190797
    {'charpoly_factorization': [[[-527065, 0, 1], 1]], 'hecke_orbit_code': 90071992614520548, 'p': 83}
  • id: 2190798
    {'charpoly_factorization': [[[-13860, 0, 1], 1]], 'hecke_orbit_code': 90071992614520548, 'p': 89}
  • id: 2190799
    {'charpoly_factorization': [[[595, 1], 2]], 'hecke_orbit_code': 90071992614520548, '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': 21, 'label': '1764.4.a.u', 'level': 1764, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 64695025
    {'hecke_orbit_code': 90071992614520548, 'n': 1, 'trace_an': 2}
  • id: 64695026
    {'hecke_orbit_code': 90071992614520548, 'n': 2, 'trace_an': 0}
  • id: 64695027
    {'hecke_orbit_code': 90071992614520548, 'n': 3, 'trace_an': 0}
  • id: 64695028
    {'hecke_orbit_code': 90071992614520548, 'n': 4, 'trace_an': 0}
  • id: 64695029
    {'hecke_orbit_code': 90071992614520548, 'n': 5, 'trace_an': 0}
  • id: 64695030
    {'hecke_orbit_code': 90071992614520548, 'n': 6, 'trace_an': 0}
  • id: 64695031
    {'hecke_orbit_code': 90071992614520548, 'n': 7, 'trace_an': 0}
  • id: 64695032
    {'hecke_orbit_code': 90071992614520548, 'n': 8, 'trace_an': 0}
  • id: 64695033
    {'hecke_orbit_code': 90071992614520548, 'n': 9, 'trace_an': 0}
  • id: 64695034
    {'hecke_orbit_code': 90071992614520548, 'n': 10, 'trace_an': 0}
  • id: 64695035
    {'hecke_orbit_code': 90071992614520548, 'n': 11, 'trace_an': 0}
  • id: 64695036
    {'hecke_orbit_code': 90071992614520548, 'n': 12, 'trace_an': 0}
  • id: 64695037
    {'hecke_orbit_code': 90071992614520548, 'n': 13, 'trace_an': 108}
  • id: 64695038
    {'hecke_orbit_code': 90071992614520548, 'n': 14, 'trace_an': 0}
  • id: 64695039
    {'hecke_orbit_code': 90071992614520548, 'n': 15, 'trace_an': 0}
  • id: 64695040
    {'hecke_orbit_code': 90071992614520548, 'n': 16, 'trace_an': 0}
  • id: 64695041
    {'hecke_orbit_code': 90071992614520548, 'n': 17, 'trace_an': 0}
  • id: 64695042
    {'hecke_orbit_code': 90071992614520548, 'n': 18, 'trace_an': 0}
  • id: 64695043
    {'hecke_orbit_code': 90071992614520548, 'n': 19, 'trace_an': -4}
  • id: 64695044
    {'hecke_orbit_code': 90071992614520548, 'n': 20, 'trace_an': 0}
  • id: 64695045
    {'hecke_orbit_code': 90071992614520548, 'n': 21, 'trace_an': 0}
  • id: 64695046
    {'hecke_orbit_code': 90071992614520548, 'n': 22, 'trace_an': 0}
  • id: 64695047
    {'hecke_orbit_code': 90071992614520548, 'n': 23, 'trace_an': 0}
  • id: 64695048
    {'hecke_orbit_code': 90071992614520548, 'n': 24, 'trace_an': 0}
  • id: 64695049
    {'hecke_orbit_code': 90071992614520548, 'n': 25, 'trace_an': 520}
  • id: 64695050
    {'hecke_orbit_code': 90071992614520548, 'n': 26, 'trace_an': 0}
  • id: 64695051
    {'hecke_orbit_code': 90071992614520548, 'n': 27, 'trace_an': 0}
  • id: 64695052
    {'hecke_orbit_code': 90071992614520548, 'n': 28, 'trace_an': 0}
  • id: 64695053
    {'hecke_orbit_code': 90071992614520548, 'n': 29, 'trace_an': 0}
  • id: 64695054
    {'hecke_orbit_code': 90071992614520548, 'n': 30, 'trace_an': 0}
  • id: 64695055
    {'hecke_orbit_code': 90071992614520548, 'n': 31, 'trace_an': -402}
  • id: 64695056
    {'hecke_orbit_code': 90071992614520548, 'n': 32, 'trace_an': 0}
  • id: 64695057
    {'hecke_orbit_code': 90071992614520548, 'n': 33, 'trace_an': 0}
  • id: 64695058
    {'hecke_orbit_code': 90071992614520548, 'n': 34, 'trace_an': 0}
  • id: 64695059
    {'hecke_orbit_code': 90071992614520548, 'n': 35, 'trace_an': 0}
  • id: 64695060
    {'hecke_orbit_code': 90071992614520548, 'n': 36, 'trace_an': 0}
  • id: 64695061
    {'hecke_orbit_code': 90071992614520548, 'n': 37, 'trace_an': -404}
  • id: 64695062
    {'hecke_orbit_code': 90071992614520548, 'n': 38, 'trace_an': 0}
  • id: 64695063
    {'hecke_orbit_code': 90071992614520548, 'n': 39, 'trace_an': 0}
  • id: 64695064
    {'hecke_orbit_code': 90071992614520548, 'n': 40, 'trace_an': 0}
  • id: 64695065
    {'hecke_orbit_code': 90071992614520548, 'n': 41, 'trace_an': 0}
  • id: 64695066
    {'hecke_orbit_code': 90071992614520548, 'n': 42, 'trace_an': 0}
  • id: 64695067
    {'hecke_orbit_code': 90071992614520548, 'n': 43, 'trace_an': -488}
  • id: 64695068
    {'hecke_orbit_code': 90071992614520548, 'n': 44, 'trace_an': 0}
  • id: 64695069
    {'hecke_orbit_code': 90071992614520548, 'n': 45, 'trace_an': 0}
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  • id: 64695268
    {'hecke_orbit_code': 90071992614520548, 'n': 907, 'trace_an': -24204}
  • id: 64695269
    {'hecke_orbit_code': 90071992614520548, 'n': 911, 'trace_an': 0}
  • id: 64695270
    {'hecke_orbit_code': 90071992614520548, 'n': 919, 'trace_an': -67576}
  • id: 64695271
    {'hecke_orbit_code': 90071992614520548, 'n': 929, 'trace_an': 0}
  • id: 64695272
    {'hecke_orbit_code': 90071992614520548, 'n': 937, 'trace_an': -35206}
  • id: 64695273
    {'hecke_orbit_code': 90071992614520548, 'n': 941, 'trace_an': 0}
  • id: 64695274
    {'hecke_orbit_code': 90071992614520548, 'n': 947, 'trace_an': 0}
  • id: 64695275
    {'hecke_orbit_code': 90071992614520548, 'n': 953, 'trace_an': 0}
  • id: 64695276
    {'hecke_orbit_code': 90071992614520548, 'n': 961, 'trace_an': 21220}
  • id: 64695277
    {'hecke_orbit_code': 90071992614520548, 'n': 967, 'trace_an': -9494}
  • id: 64695278
    {'hecke_orbit_code': 90071992614520548, 'n': 971, 'trace_an': 0}
  • id: 64695279
    {'hecke_orbit_code': 90071992614520548, 'n': 977, 'trace_an': 0}
  • id: 64695280
    {'hecke_orbit_code': 90071992614520548, 'n': 983, 'trace_an': 0}
  • id: 64695281
    {'hecke_orbit_code': 90071992614520548, 'n': 991, 'trace_an': 26938}
  • id: 64695282
    {'hecke_orbit_code': 90071992614520548, 'n': 997, 'trace_an': -28564}