Embedded newform data - 825.4.a.y.1.3

Formats: - HTML - YAML - JSON - 2024-05-19T09:00:06.842379

• 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_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': 13200, 'analytic_conductor': 48.67657575473601, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [11, 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': [825, 1, [551, 727, 376], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 5, 'field_disc': 34012634304, 'field_disc_factorization': [[2, 6], [3, 1], [11, 1], [16104467, 1]], 'field_poly': [-30, 78, 17, -21, -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': 0, 'hecke_cutters': [[2, [-30, 78, 17, -21, -1, 1]], [7, [274698, -109997, 14004, -488, -18, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391124001593, 'hecke_ring_generator_nbound': 7, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '825.4.a.y', 'level': 825, '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': [3, 5, 11], 'level_radical': 165, 'minimal_twist': '825.4.a.x', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}-3q^{3}+(1+\\beta _{2})q^{4}-3\\beta _{1}q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '825.4.a', 'trace_display': [1, -15, 0, 18], 'trace_hash': 817944901148401592, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.874', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '63.415', 'prec': 20}, {'__RealLiteral__': 0, 'data': '22.418', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1222.320', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [5, 1, -15, 3, 0, -3, 18, -3, 45, 0, -55, -9, 31, 8, 0, -125, 38, 9, -57, 0, -54, -11, 161, 9, 0, -125, -135, 324, -107, 0, -295, -23, 165, 34, 0, 27, -260, 619, -93, 0, -128, -24, 377, -33, 0, -577, -114, 375, -415, 0, -114, -395, 812, -27, 0, -132, 171, 339, -1152, 0, -344, -235, 162, -545, 0, 33, -928, 654, -483, 0, -707, -27, 322, -1176, 0, -1699, -198, 375, -2494, 0, 405, -2776, 1657, -972, 0, -799, 321, 33, -2435, 0, -804, -2775, 885, -502, 0, 69, -1901, 343, -495, 0, -945, -102, 371, -2509, 0, -1144, -425, -81, -2289, 0, 780, -3860, 430, -1857, 0, 1049, 279, 1512, -4438, 0, 605, -4830, 384, -813, 0, 72, -2306, 125, -1131, 0, -1875, 99, -1222, -6654, 0, 1070, 1629, 1731, -5611, 0, 342, -5945, -341, -1125, 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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'angles': [-0.23962115825830813, None, None, -0.3773926282534464, None, -0.15957843961368642, -0.10851624005445322, -0.23157977226714366, -0.20582904588216014, -0.2700324542994678, -0.26036782555340854, -0.3893316244574993, -0.27935943307225075, -0.14873619212426828, -0.39731026877851894, -0.2227275132631784, -0.2873445128671013, -0.2615316879934024, -0.22042957603290245, -0.34064832586168103, -0.09723958622483497, -0.21325184952020904, -0.15620229891716356, -0.4157959318639929, -0.09162548328546467, -0.3293437825958819, -0.26413804596330764, -0.297621951109388, -0.31585480003494326, -0.22826523750055547, -0.35394604481130987, -0.1642929643267025, -0.14999972083777396, -0.2735063847058398, -0.2833670207633023, -0.39407402502272937, -0.305857007582194, -0.37964297178234074, -0.4673436879154408, -0.19597912097347214, -0.21354875070885423, -0.25477168361130303, -0.13112125757457854, -0.2196759650804966, -0.15899317700174043, -0.3488627434110266, -0.37283067294233696, -0.34580025029726136, 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• 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': [12, 9, 12, 14, 11, 14, 12, 10], 'Nk2': 13200, 'analytic_conductor': 48.67657575473601, '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': [825, 1, [551, 727, 376], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 348, 'dim': 94, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7], 'hecke_orbit_code': 67109689, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 5, 5, 5, 5, 7, 7, 7, 7], 'label': '825.4.a', 'level': 825, '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': [3, 5, 11], 'level_radical': 165, 'mf_dim': 372, 'mf_new_dim': 94, 'num_forms': 30, 'plus_dim': 52, 'prim_orbit_index': 1, 'relative_dim': 94, 'sturm_bound': 480, 'trace_bound': 4, 'trace_display': [4, 0, 0, -32], 'traces': 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-74304, 0, 9504, -82300, 756, -75400, 0, -66360, 12848, -40872, -38424, 0, -28780, 11232, 52248, -140472, 0, -84376, -32480, -1584, 2198, 0, 360, 89336, 70632, 42888, 0, -130880, -7824, 44952, 16544, 0, -91164, 97772, -3048, -384, 0, -21024, -97112, -3240, -49140, 0, 54712, 71880, -24032, -22740, 0, -124320, 105016, 18864, 22648, 0, -264, 65064, -42704, 66852, 0, 65968, -2592, -58056, 11120, 0, 10064, -4356, -34620, -281448, 0, 71748, 9124, -1964, 20568, 0, 134864, -10080, -1320, -342936, 0, -53912, -61688, -20928, 63288, 0, -12624, 13960, 45776, -2376, 0, -86752, -12600, -170200, 249132, 0, -26172, 112544, 12096, 94048, 0, 71304, 115008, -51712, -32712, 0, -32696, 1224, 740, -209352, 0, -69872, 52868, -15072, -5512, 0, -10260, -93608, -157520, -4344, 0, 2296, 10560, -37232, 4320, 0, -30072, -195116, -28332, 76824, 0, -53004, 27516, -4488, -3564, 0, 173884, 73392, 68464, 254216, 0, 112360, -44188, -2916, -1584, 0, -47208, -29568, 138768, -82020, 0, -91664, -33660, 130336, 42160, 0, 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0, 229600, 75224, -68316, -11880, 0, -122976, -13048, -9344, -35640, 0, 81704, -168120, 3608, 481984, 0, 334400, -8376, 22140, -287812, 0, -5976, -113976, -158520, 72432, 0, 44616, -16416, 92800, 184340, 0, -129966, 220488, 64848, -129856, 0, 86184, -3872, 35716, -138132, 0, 131768, 164196, 18644, 119456, 0, 94120, 59312, -528, -42192, 0, 4464, 108744, -75092, 90396, 0, 218472, 9600, -179872, 46376, 0, 170840, 199836, 7308, -38608, 0, -202080, -99116, -153436, -57456, 0, -200372, 56844, 107280, -588040, 0, 484856, -27352, 210120, -180008, 0, 0, -117728, 66200, 66312, 0, -475476, -36216, 211264, -14496, 0, 256160, -23496, 3720, -341352, 0, -21708, 177936, 27600, 87768, 0, 26844, 47304, 9240, 206544, 0, -110040, -148864, -15336, 260744, 0, -72828, -116640, -46760, -26796, 0, -85024, -11664, -53088, -53580, 0, 183352, 308256, 49020, 101472, 0, 168012, 121948, -44192, 74760, 0, -288648, -179688, 65776, -49480, 0, 58872, -91104, -105216, -33624, 0, -193284, 90936, -29824, 2808, 0, -16928, 9768, -69112, 133728, 0, 202350, -119896, 7200, -72984, 0, -284256, 77312, -4356, 51960, 0, 243352, -1944, 19920, -133736, 0, -851352, 164380, -122016, -23584, 0, 51156, -359248, 206852, -144072, 0, -642448, -154536, 168808, 59720, 0, -25096, -374416, 2352, 128064, 0, 481176, -198860, -161840, -22680, 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: 48553203
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124001593, 'source_is_minimal': True, 'source_label': '825.4.a.y.1.3', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108086391124001593, 'target_is_minimal': True, 'target_label': '825.4.a.y.1.3', 'target_level': 825, 'twist_class_label': '825.4.a.x.1.3', 'twist_class_level': 825, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48553204
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124001593, 'source_is_minimal': True, 'source_label': '825.4.a.y.1.3', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 153122387397708203, 'target_is_minimal': False, 'target_label': '2475.4.a.bi.1.3', 'target_level': 2475, 'twist_class_label': '825.4.a.x.1.3', 'twist_class_level': 825, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48553205
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124001593, 'source_is_minimal': True, 'source_label': '825.4.a.y.1.3', 'source_level': 825, 'target_conrey_index': 199, 'target_dim': 10, 'target_embedding_index': 6, 'target_hecke_orbit_code': 81064930798732089, 'target_is_minimal': False, 'target_label': '825.4.c.s.199.6', 'target_level': 825, 'twist_class_label': '825.4.a.x.1.3', 'twist_class_level': 825, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48553206
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124001593, 'source_is_minimal': True, 'source_label': '825.4.a.y.1.3', 'source_level': 825, 'target_conrey_index': 199, 'target_dim': 10, 'target_embedding_index': 5, 'target_hecke_orbit_code': 81064930798732089, 'target_is_minimal': False, 'target_label': '825.4.c.s.199.5', 'target_level': 825, 'twist_class_label': '825.4.a.x.1.3', 'twist_class_level': 825, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48553207
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124001593, 'source_is_minimal': True, 'source_label': '825.4.a.y.1.3', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 103582791496631097, 'target_is_minimal': True, 'target_label': '825.4.a.x.1.3', 'target_level': 825, 'twist_class_label': '825.4.a.x.1.3', 'twist_class_level': 825, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48553208
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124001593, 'source_is_minimal': True, 'source_label': '825.4.a.y.1.3', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 157625987025078699, 'target_is_minimal': False, 'target_label': '2475.4.a.bj.1.3', 'target_level': 2475, 'twist_class_label': '825.4.a.x.1.3', 'twist_class_level': 825, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1377925
    {'charpoly_factorization': [[[-30, 78, 17, -21, -1, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 2}
  • id: 1377926
    {'charpoly_factorization': [[[3, 1], 5]], 'hecke_orbit_code': 108086391124001593, 'p': 3}
  • id: 1377927
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 108086391124001593, 'p': 5}
  • id: 1377928
    {'charpoly_factorization': [[[274698, -109997, 14004, -488, -18, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 7}
  • id: 1377929
    {'charpoly_factorization': [[[11, 1], 5]], 'hecke_orbit_code': 108086391124001593, 'p': 11}
  • id: 1377930
    {'charpoly_factorization': [[[-160971832, 4957376, 140743, -4465, -31, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 13}
  • id: 1377931
    {'charpoly_factorization': [[[-2998274400, 70893900, 888948, -19537, -38, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 17}
  • id: 1377932
    {'charpoly_factorization': [[[-92396817, 3849987, 252712, -11988, 57, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 19}
  • id: 1377933
    {'charpoly_factorization': [[[-3646836204, -281904, 2527429, -19145, -161, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 23}
  • id: 1377934
    {'charpoly_factorization': [[[16041054816, 396997440, -2770092, -60112, 107, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 29}
  • id: 1377935
    {'charpoly_factorization': [[[9419016168, 261146472, -7920319, -33433, 295, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 31}
  • id: 1377936
    {'charpoly_factorization': [[[-117286555496, 2681705532, -10547118, -85399, 260, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 37}
  • id: 1377937
    {'charpoly_factorization': [[[144243119304, 3215304180, -188058, -184077, 128, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 41}
  • id: 1377938
    {'charpoly_factorization': [[[106386652548, 11888721240, 35941769, -201925, -377, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 43}
  • id: 1377939
    {'charpoly_factorization': [[[9919512777600, 46101806688, -77415348, -457991, 114, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 47}
  • id: 1377940
    {'charpoly_factorization': [[[6507197476032, -91987408752, 369800512, -264200, -812, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 53}
  • id: 1377941
    {'charpoly_factorization': [[[-849531990720, -6150914688, 35969354, 416773, 1152, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 59}
  • id: 1377942
    {'charpoly_factorization': [[[105472451720, -5498810188, -146032310, -621055, 344, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 61}
  • id: 1377943
    {'charpoly_factorization': [[[33338076430840, -41714794964, -558480302, -464471, 928, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 67}
  • id: 1377944
    {'charpoly_factorization': [[[13467667404912, 113335765416, -283106455, -621005, 707, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 71}
  • id: 1377945
    {'charpoly_factorization': [[[28282570016, -7945753552, 473720128, -1171024, -322, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 73}
  • id: 1377946
    {'charpoly_factorization': [[[57405986771584, -322674693392, -336709760, 1537579, 2494, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 79}
  • id: 1377947
    {'charpoly_factorization': [[[-22148729580384, -117175997664, 351774708, 470904, -1657, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 83}
  • id: 1377948
    {'charpoly_factorization': [[[-205516733649744, -1628635153200, -2330847928, 528072, 2435, 1], 1]], 'hecke_orbit_code': 108086391124001593, 'p': 89}
  • id: 1377949
    {'charpoly_factorization': [[[-46307548394375, -2252485934475, -4892802534, -1674358, 1901, 1], 1]], 'hecke_orbit_code': 108086391124001593, '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': 25, 'label': '825.4.a.y', 'level': 825, '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: 258354000
    {'hecke_orbit_code': 108086391124001593, 'n': 1, 'trace_an': 5}
  • id: 258354001
    {'hecke_orbit_code': 108086391124001593, 'n': 2, 'trace_an': 1}
  • id: 258354002
    {'hecke_orbit_code': 108086391124001593, 'n': 3, 'trace_an': -15}
  • id: 258354003
    {'hecke_orbit_code': 108086391124001593, 'n': 4, 'trace_an': 3}
  • id: 258354004
    {'hecke_orbit_code': 108086391124001593, 'n': 5, 'trace_an': 0}
  • id: 258354005
    {'hecke_orbit_code': 108086391124001593, 'n': 6, 'trace_an': -3}
  • id: 258354006
    {'hecke_orbit_code': 108086391124001593, 'n': 7, 'trace_an': 18}
  • id: 258354007
    {'hecke_orbit_code': 108086391124001593, 'n': 8, 'trace_an': -3}
  • id: 258354008
    {'hecke_orbit_code': 108086391124001593, 'n': 9, 'trace_an': 45}
  • id: 258354009
    {'hecke_orbit_code': 108086391124001593, 'n': 10, 'trace_an': 0}
  • id: 258354010
    {'hecke_orbit_code': 108086391124001593, 'n': 11, 'trace_an': -55}
  • id: 258354011
    {'hecke_orbit_code': 108086391124001593, 'n': 12, 'trace_an': -9}
  • id: 258354012
    {'hecke_orbit_code': 108086391124001593, 'n': 13, 'trace_an': 31}
  • id: 258354013
    {'hecke_orbit_code': 108086391124001593, 'n': 14, 'trace_an': 8}
  • id: 258354014
    {'hecke_orbit_code': 108086391124001593, 'n': 15, 'trace_an': 0}
  • id: 258354015
    {'hecke_orbit_code': 108086391124001593, 'n': 16, 'trace_an': -125}
  • id: 258354016
    {'hecke_orbit_code': 108086391124001593, 'n': 17, 'trace_an': 38}
  • id: 258354017
    {'hecke_orbit_code': 108086391124001593, 'n': 18, 'trace_an': 9}
  • id: 258354018
    {'hecke_orbit_code': 108086391124001593, 'n': 19, 'trace_an': -57}
  • id: 258354019
    {'hecke_orbit_code': 108086391124001593, 'n': 20, 'trace_an': 0}
  • id: 258354020
    {'hecke_orbit_code': 108086391124001593, 'n': 21, 'trace_an': -54}
  • id: 258354021
    {'hecke_orbit_code': 108086391124001593, 'n': 22, 'trace_an': -11}
  • id: 258354022
    {'hecke_orbit_code': 108086391124001593, 'n': 23, 'trace_an': 161}
  • id: 258354023
    {'hecke_orbit_code': 108086391124001593, 'n': 24, 'trace_an': 9}
  • id: 258354024
    {'hecke_orbit_code': 108086391124001593, 'n': 25, 'trace_an': 0}
  • id: 258354025
    {'hecke_orbit_code': 108086391124001593, 'n': 26, 'trace_an': -125}
  • id: 258354026
    {'hecke_orbit_code': 108086391124001593, 'n': 27, 'trace_an': -135}
  • id: 258354027
    {'hecke_orbit_code': 108086391124001593, 'n': 28, 'trace_an': 324}
  • id: 258354028
    {'hecke_orbit_code': 108086391124001593, 'n': 29, 'trace_an': -107}
  • id: 258354029
    {'hecke_orbit_code': 108086391124001593, 'n': 30, 'trace_an': 0}
  • id: 258354030
    {'hecke_orbit_code': 108086391124001593, 'n': 31, 'trace_an': -295}
  • id: 258354031
    {'hecke_orbit_code': 108086391124001593, 'n': 32, 'trace_an': -23}
  • id: 258354032
    {'hecke_orbit_code': 108086391124001593, 'n': 33, 'trace_an': 165}
  • id: 258354033
    {'hecke_orbit_code': 108086391124001593, 'n': 34, 'trace_an': 34}
  • id: 258354034
    {'hecke_orbit_code': 108086391124001593, 'n': 35, 'trace_an': 0}
  • id: 258354035
    {'hecke_orbit_code': 108086391124001593, 'n': 36, 'trace_an': 27}
  • id: 258354036
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