Embedded newform data - 1800.4.a.bh.1.1

Formats: - HTML - YAML - JSON - 2024-12-08T18:21:47.769645

• 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': 28800, 'analytic_conductor': 106.2034380103331, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [5, -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': [1800, 1, [1351, 901, 1001, 577], [1, 1, 1, 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': [[7, [-26, 1]], [11, [-59, 1]], [17, [5, 1]]], 'hecke_orbit': 34, 'hecke_orbit_code': 148618787770337032, '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': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1800.4.a.bh', 'level': 1800, 'level_is_powerful': True, '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, 5], 'level_radical': 30, 'minimal_twist': '200.4.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+26q^{7}+59q^{11}+28q^{13}-5q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1800.4.a', 'trace_display': [0, 0, 0, 26], 'trace_hash': 1914079681508130276, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.022', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.970', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.017', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.872', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.512', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.003', 'prec': 17}, 'traces': [1, 0, 0, 0, 0, 0, 26, 0, 0, 0, 59, 0, 28, 0, 0, 0, -5, 0, 109, 0, 0, 0, 194, 0, 0, 0, 0, 0, 32, 0, 10, 0, 0, 0, 0, 0, -198, 0, 0, 0, -117, 0, 388, 0, 0, 0, 68, 0, 333, 0, 0, 0, 18, 0, 0, 0, 0, 0, -392, 0, -710, 0, 0, 0, 0, 0, -253, 0, 0, 0, 612, 0, -549, 0, 0, 0, 1534, 0, 414, 0, 0, 0, 121, 0, 0, 0, 0, 0, 81, 0, 728, 0, 0, 0, 0, 0, -1502, 0, 0, 0, 234, 0, -1172, 0, 0, 0, -1125, 0, -1234, 0, 0, 0, -567, 0, 0, 0, 0, 0, -130, 0, 2150, 0, 0, 0, 0, 0, -2358, 0, 0, 0, 1692, 0, 2834, 0, 0, 0, -229, 0, 2781, 0, 0, 0, 1652, 0, 0, 0, 0, 0, -1472, 0, 1322, 0, 0, 0, 0, 0, 298, 0, 0, 0, 5044, 0, -341, 0, 0, 0, -684, 0, -1413, 0, 0, 0, 2344, 0, 0, 0, 0, 0, 1111, 0, 2042, 0, 0, 0, 0, 0, -295, 0, 0, 0, -5270, 0, 613, 0, 0, 0, -1174, 0, 3428, 0, 0, 0, 832, 0, 0, 0, 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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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-0.2268975256465248], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 34, 'hecke_orbit_code': 148618787770337032, 'label': '1800.4.a.bh.1.1', 'level': 1800, 'weight': 4}
• 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

  
  {'ALdims': [7, 7, 9, 12, 7, 7, 11, 11], 'Nk2': 28800, 'analytic_conductor': 106.2034380103331, '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': [1800, 1, [1351, 901, 1001, 577], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1032, 'dim': 71, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 17], 'hecke_orbit_code': 67110664, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4], 'label': '1800.4.a', 'level': 1800, 'level_is_powerful': True, '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, 5], 'level_radical': 30, 'mf_dim': 1128, 'mf_new_dim': 71, 'num_forms': 49, 'plus_dim': 37, 'prim_orbit_index': 1, 'relative_dim': 71, 'sturm_bound': 1440, 'trace_bound': 17, 'trace_display': [0, 0, 0, -12], 'traces': [71, 0, 0, 0, 0, 0, -12, 0, 0, 0, -22, 0, -2, 0, 0, 0, -46, 0, 46, 0, 0, 0, 28, 0, 0, 0, 0, 0, 50, 0, -100, 0, 0, 0, 0, 0, -178, 0, 0, 0, -16, 0, -400, 0, 0, 0, 52, 0, 3527, 0, 0, 0, -594, 0, 0, 0, 0, 0, -252, 0, -1446, 0, 0, 0, 0, 0, -304, 0, 0, 0, -136, 0, 634, 0, 0, 0, 32, 0, 1172, 0, 0, 0, 1040, 0, 0, 0, 0, 0, -2772, 0, 2768, 0, 0, 0, 0, 0, -862, 0, 0, 0, 126, 0, 204, 0, 0, 0, -336, 0, -1046, 0, 0, 0, -2742, 0, 0, 0, 0, 0, 2172, 0, 6337, 0, 0, 0, 0, 0, 1532, 0, 0, 0, 900, 0, 4464, 0, 0, 0, 2338, 0, -3362, 0, 0, 0, 7312, 0, 0, 0, 0, 0, -2286, 0, -60, 0, 0, 0, 0, 0, 1974, 0, 0, 0, 6584, 0, -2968, 0, 0, 0, -3084, 0, 11985, 0, 0, 0, -8266, 0, 0, 0, 0, 0, 4706, 0, 3922, 0, 0, 0, 0, 0, 2360, 0, 0, 0, -10668, 0, 9434, 0, 0, 0, 3358, 0, -10192, 0, 0, 0, 13808, 0, 0, 0, 0, 0, 3058, 0, 6962, 0, 0, 0, 0, 0, -2816, 0, 0, 0, 17652, 0, -6524, 0, 0, 0, -2688, 0, 3142, 0, 0, 0, -17238, 0, 0, 0, 0, 0, 8576, 0, 3008, 0, 0, 0, 0, 0, 8040, 0, 0, 0, -10682, 0, 12064, 0, 0, 0, 6282, 0, -64, 0, 0, 0, 26508, 0, 0, 0, 0, 0, 16122, 0, 1636, 0, 0, 0, 0, 0, -9578, 0, 0, 0, 15330, 0, -17536, 0, 0, 0, -16752, 0, 28395, 0, 0, 0, -25058, 0, 0, 0, 0, 0, 3616, 0, -12672, 0, 0, 0, 0, 0, -5584, 0, 0, 0, -13764, 0, 21218, 0, 0, 0, 16182, 0, 11800, 0, 0, 0, 32840, 0, 0, 0, 0, 0, 2112, 0, 3966, 0, 0, 0, 0, 0, -9454, 0, 0, 0, 55740, 0, -26712, 0, 0, 0, -7336, 0, 434, 0, 0, 0, -43006, 0, 0, 0, 0, 0, -68, 0, 17889, 0, 0, 0, 0, 0, 21244, 0, 0, 0, -42848, 0, 26190, 0, 0, 0, 19660, 0, 12058, 0, 0, 0, 56172, 0, 0, 0, 0, 0, 22998, 0, 42356, 0, 0, 0, 0, 0, -3562, 0, 0, 0, 32368, 0, -28944, 0, 0, 0, -44208, 0, -12856, 0, 0, 0, -51056, 0, 0, 0, 0, 0, -43398, 0, -50490, 0, 0, 0, 0, 0, -1448, 0, 0, 0, -66188, 0, 43418, 0, 0, 0, 21424, 0, 7848, 0, 0, 0, 47232, 0, 0, 0, 0, 0, 7152, 0, 54418, 0, 0, 0, 0, 0, -17334, 0, 0, 0, 79650, 0, -36668, 0, 0, 0, 5240, 0, -28700, 0, 0, 0, -71744, 0, 0, 0, 0, 0, -4804, 0, -27908, 0, 0, 0, 0, 0, 32244, 0, 0, 0, -84148, 0, 56836, 0, 0, 0, 29712, 0, 13028, 0, 0, 0, 78084, 0, 0, 0, 0, 0, 21574, 0, 24964, 0, 0, 0, 0, 0, -14432, 0, 0, 0, 41104, 0, -18592, 0, 0, 0, -56512, 0, 41455, 0, 0, 0, -63636, 0, 0, 0, 0, 0, -78486, 0, -65186, 0, 0, 0, 0, 0, 34000, 0, 0, 0, -59744, 0, 44624, 0, 0, 0, 42950, 0, -37208, 0, 0, 0, 63880, 0, 0, 0, 0, 0, -5280, 0, 21124, 0, 0, 0, 0, 0, -16198, 0, 0, 0, 106636, 0, -64648, 0, 0, 0, 13968, 0, -49100, 0, 0, 0, -86646, 0, 0, 0, 0, 0, -13796, 0, -7964, 0, 0, 0, 0, 0, 38364, 0, 0, 0, -92064, 0, -338, 0, 0, 0, 19194, 0, -820, 0, 0, 0, 95136, 0, 0, 0, 0, 0, 68040, 0, 59124, 0, 0, 0, 0, 0, -58850, 0, 0, 0, 31482, 0, -34072, 0, 0, 0, -89412, 0, 6880, 0, 0, 0, -85066, 0, 0, 0, 0, 0, -121794, 0, -25202, 0, 0, 0, 0, 0, -66376, 0, 0, 0, -71636, 0, 53162, 0, 0, 0, 18814, 0, -1720, 0, 0, 0, 32232, 0, 0, 0, 0, 0, 13676, 0, -65530, 0, 0, 0, 0, 0, -11428, 0, 0, 0, 107794, 0, -58232, 0, 0, 0, 38736, 0, 41046, 0, 0, 0, -60080, 0, 0, 0, 0, 0, 114004, 0, 4696, 0, 0, 0, 0, 0, 121924, 0, 0, 0, -52272, 0, 7966, 0, 0, 0, 36032, 0, 13196, 0, 0, 0, 84132, 0, 0, 0, 0, 0, 17068, 0, -89296, 0, 0, 0, 0, 0, 30358, 0, 0, 0, -46760, 0, -49224, 0, 0, 0, -117952, 0, 4848, 0, 0, 0, -40818, 0, 0, 0, 0, 0, -64658, 0, -61176, 0, 0, 0, 0, 0, -86176, 0, 0, 0, -27412, 0, -10700, 0, 0, 0, 3942, 0, -164496, 0, 0, 0, -9168, 0, 0, 0, 0, 0, -27606, 0, -52652, 0, 0, 0, 0, 0, -73280, 0, 0, 0, 14982, 0, -54308, 0, 0, 0, 99768, 0, -80266, 0, 0, 0, -62574, 0, 0, 0, 0, 0, 82992, 0, -9039, 0, 0, 0, 0, 0, 14932, 0, 0, 0, -92048, 0, 34430, 0, 0, 0, -2790, 0, 44974, 0, 0, 0, 87588, 0, 0, 0, 0, 0, -44260, 0, 13696, 0, 0, 0, 0, 0, 3462, 0, 0, 0, 53458, 0, 31944, 0, 0, 0, -136460, 0, 4608, 0, 0, 0, -23024, 0, 0, 0, 0, 0, -54360, 0, -64744, 0, 0, 0, 0, 0, -216, 0, 0, 0, 96696, 0, 4688, 0, 0, 0, 1248, 0, -35948, 0, 0, 0, -42384, 0, 0, 0, 0, 0, -62902, 0, 25534, 0, 0, 0, 0, 0, 121314, 0, 0, 0, 38570, 0, -70984, 0, 0, 0, 164992, 0, -19428, 0, 0, 0, 33138, 0, 0, 0, 0, 0, 168604, 0, 61079, 0, 0, 0, 0, 0, 49172, 0, 0, 0, 88074, 0, -25776, 0, 0, 0, -16270, 0, -97962, 0, 0, 0, 35604, 0, 0, 0, 0, 0, 45360, 0, -21820, 0, 0, 0, 0, 0, -107938, 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: 48820568
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 148618787770337032, 'target_is_minimal': False, 'target_label': '1800.4.a.bh.1.1', 'target_level': 1800, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48820569
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713443528, 'target_is_minimal': True, 'target_label': '200.4.a.j.1.1', 'target_level': 200, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48820570
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 99079535466645256, 'target_is_minimal': False, 'target_label': '1800.4.f.w.649.2', 'target_level': 1800, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48820571
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 99079535466645256, 'target_is_minimal': False, 'target_label': '1800.4.f.w.649.1', 'target_level': 1800, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48820572
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199321851656, 'target_is_minimal': False, 'target_label': '1800.4.a.c.1.1', 'target_level': 1800, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48820573
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67109264, 'target_is_minimal': False, 'target_label': '400.4.a.a.1.1', 'target_level': 400, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48820574
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737133433032, 'target_is_minimal': False, 'target_label': '200.4.c.b.49.1', 'target_level': 200, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48820575
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503737133433032, 'target_is_minimal': False, 'target_label': '200.4.c.b.49.2', 'target_level': 200, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 48820576
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694479560, 'target_is_minimal': True, 'target_label': '200.4.a.b.1.1', 'target_level': 200, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
  • id: 48820577
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199321851456, 'target_is_minimal': False, 'target_label': '1600.4.a.c.1.1', 'target_level': 1600, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48820578
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 225179981435635264, 'target_is_minimal': False, 'target_label': '1600.4.a.by.1.1', 'target_level': 1600, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48820579
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737133433232, 'target_is_minimal': False, 'target_label': '400.4.c.b.49.1', 'target_level': 400, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 4}
  • id: 48820580
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503737133433232, 'target_is_minimal': False, 'target_label': '400.4.c.b.49.2', 'target_level': 400, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 4}
  • id: 48820581
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 85568392987148688, 'target_is_minimal': False, 'target_label': '400.4.a.t.1.1', 'target_level': 400, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 4}
  • id: 48820582
    {'conductor': 120, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 229683581063005760, 'target_is_minimal': False, 'target_label': '1600.4.a.bz.1.1', 'target_level': 1600, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '120.29', 'twisting_conrey_index': 29, 'weight': 4}
  • id: 48820583
    {'conductor': 120, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 148618787770337032, 'source_is_minimal': False, 'source_label': '1800.4.a.bh.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694480960, 'target_is_minimal': False, 'target_label': '1600.4.a.b.1.1', 'target_level': 1600, 'twist_class_label': '200.4.a.b.1.1', 'twist_class_level': 200, 'twisting_char_label': '120.59', 'twisting_conrey_index': 59, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2217550
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 2}
  • id: 2217551
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 3}
  • id: 2217552
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 5}
  • id: 2217553
    {'charpoly_factorization': [[[-26, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 7}
  • id: 2217554
    {'charpoly_factorization': [[[-59, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 11}
  • id: 2217555
    {'charpoly_factorization': [[[-28, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 13}
  • id: 2217556
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 17}
  • id: 2217557
    {'charpoly_factorization': [[[-109, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 19}
  • id: 2217558
    {'charpoly_factorization': [[[-194, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 23}
  • id: 2217559
    {'charpoly_factorization': [[[-32, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 29}
  • id: 2217560
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 31}
  • id: 2217561
    {'charpoly_factorization': [[[198, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 37}
  • id: 2217562
    {'charpoly_factorization': [[[117, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 41}
  • id: 2217563
    {'charpoly_factorization': [[[-388, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 43}
  • id: 2217564
    {'charpoly_factorization': [[[-68, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 47}
  • id: 2217565
    {'charpoly_factorization': [[[-18, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 53}
  • id: 2217566
    {'charpoly_factorization': [[[392, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 59}
  • id: 2217567
    {'charpoly_factorization': [[[710, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 61}
  • id: 2217568
    {'charpoly_factorization': [[[253, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 67}
  • id: 2217569
    {'charpoly_factorization': [[[-612, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 71}
  • id: 2217570
    {'charpoly_factorization': [[[549, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 73}
  • id: 2217571
    {'charpoly_factorization': [[[-414, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 79}
  • id: 2217572
    {'charpoly_factorization': [[[-121, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 83}
  • id: 2217573
    {'charpoly_factorization': [[[-81, 1], 1]], 'hecke_orbit_code': 148618787770337032, 'p': 89}
  • id: 2217574
    {'charpoly_factorization': [[[1502, 1], 1]], 'hecke_orbit_code': 148618787770337032, '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': 34, 'label': '1800.4.a.bh', 'level': 1800, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 69460027
    {'hecke_orbit_code': 148618787770337032, 'n': 1, 'trace_an': 1}
  • id: 69460028
    {'hecke_orbit_code': 148618787770337032, 'n': 2, 'trace_an': 0}
  • id: 69460029
    {'hecke_orbit_code': 148618787770337032, 'n': 3, 'trace_an': 0}
  • id: 69460030
    {'hecke_orbit_code': 148618787770337032, 'n': 4, 'trace_an': 0}
  • id: 69460031
    {'hecke_orbit_code': 148618787770337032, 'n': 5, 'trace_an': 0}
  • id: 69460032
    {'hecke_orbit_code': 148618787770337032, 'n': 6, 'trace_an': 0}
  • id: 69460033
    {'hecke_orbit_code': 148618787770337032, 'n': 7, 'trace_an': 26}
  • id: 69460034
    {'hecke_orbit_code': 148618787770337032, 'n': 8, 'trace_an': 0}
  • id: 69460035
    {'hecke_orbit_code': 148618787770337032, 'n': 9, 'trace_an': 0}
  • id: 69460036
    {'hecke_orbit_code': 148618787770337032, 'n': 10, 'trace_an': 0}
  • id: 69460037
    {'hecke_orbit_code': 148618787770337032, 'n': 11, 'trace_an': 59}
  • id: 69460038
    {'hecke_orbit_code': 148618787770337032, 'n': 12, 'trace_an': 0}
  • id: 69460039
    {'hecke_orbit_code': 148618787770337032, 'n': 13, 'trace_an': 28}
  • id: 69460040
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  • id: 69460252
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  • id: 69460263
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  • id: 69460264
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  • id: 69460265
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  • id: 69460266
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  • id: 69460268
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  • id: 69460269
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  • id: 69460270
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  • id: 69460271
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  • id: 69460273
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  • id: 69460274
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  • id: 69460275
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  • id: 69460276
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  • id: 69460278
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  • id: 69460279
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  • id: 69460280
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  • id: 69460281
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  • id: 69460282
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  • id: 69460283
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  • id: 69460284
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