Embedded newform data - 1028.6.a.a.1.18

Formats: - HTML - YAML - JSON - 2024-05-25T15:23:05.756263

• 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': 37008, 'analytic_conductor': 164.87456676774408, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [257, -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': [1028, 1, [515, 517], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 49, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_orbit': 1, 'hecke_orbit_code': 100664324, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1028.6.a.a', 'level': 1028, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 257], 'level_radical': 514, 'minimal_twist': '1028.6.a.a', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 49, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1028.6.a', 'trace_display': [0, -27, -89, 88], 'traces': [49, 0, -27, 0, -89, 0, 88, 0, 3430, 0, -484, 0, -2922, 0, -244, 0, -3638, 0, -3567, 0, -3811, 0, 3712, 0, 13568, 0, -8814, 0, -5911, 0, -3539, 0, -17215, 0, -10524, 0, -31531, 0, -14986, 0, -35365, 0, -44830, 0, -34403, 0, 12410, 0, 68891, 0, -48608, 0, -79861, 0, -34265, 0, -109824, 0, -51564, 0, -66228, 0, 24981, 0, -31903, 0, -80135, 0, 50903, 0, 162703, 0, -58717, 0, 207827, 0, 89720, 0, 125647, 0, 420081, 0, -28722, 0, -125617, 0, 65848, 0, 93837, 0, -66437, 0, -278711, 0, -83170, 0, -347060, 0, 7934, 0, -163217, 0, 63000, 0, -478207, 0, -456154, 0, -648126, 0, -294636, 0, -310457, 0, -124936, 0, -818447, 0, -198765, 0, -17253, 0, -914953, 0, -909033, 0, -634434, 0, -1023502, 0, -950844, 0, -1395971, 0, -1354126, 0, -888862, 0, -639463, 0, -1489709, 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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-0.3852816907327464, -0.3404913068861813, -0.3527069844989739, -0.2503298727783306, -0.08894904616247336, -0.15110315705941346, -0.24219240715865448, -0.20688683326543267, -0.21914358508017426, -0.2119278304827912, -0.0833399061374646, -0.3170300692433912, -0.14250621342346348, -0.15833621525715644, -0.2427686754007587, -0.2775685424520895, -0.34841086146111466, -0.4161462625287335, -0.25876240002095224, -0.23628137089378173, -0.07920472830353675, -0.2884446358419876, -0.27774522774295607, -0.1464508814552777, -0.16747202847458975, -0.245329611755497], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 18, 'dual_embedding_m': 18, 'embedding_index': 18, 'embedding_m': 18, 'hecke_orbit': 1, 'hecke_orbit_code': 100664324, 'label': '1028.6.a.a.1.18', 'level': 1028, 'weight': 6}
• 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': [0, 0, 57, 49], 'Nk2': 37008, 'analytic_conductor': 164.87456676774408, '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': [1028, 1, [515, 517], [1, 1]], 'conrey_index': 1, 'cusp_dim': 642, 'dim': 106, 'eis_dim': 6, 'eis_new_dim': 0, 'hecke_orbit_code': 100664324, 'hecke_orbit_dims': [49, 57], 'label': '1028.6.a', 'level': 1028, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 257], 'level_radical': 514, 'mf_dim': 648, 'mf_new_dim': 106, 'num_forms': 2, 'plus_dim': 49, 'prim_orbit_index': 1, 'relative_dim': 106, 'sturm_bound': 774, 'trace_bound': 1, 'trace_display': [0, 0, -28, 176], 'traces': [106, 0, 0, 0, -28, 0, 176, 0, 8804, 0, 0, 0, 240, 0, -488, 0, -340, 0, -636, 0, 1198, 0, 7424, 0, 62136, 0, -132, 0, 4998, 0, -7078, 0, -3938, 0, 3452, 0, 10864, 0, -29972, 0, -43834, 0, 24978, 0, -8056, 0, 24820, 0, 272238, 0, -24388, 0, -30508, 0, -68530, 0, -11712, 0, -61356, 0, 90804, 0, 49962, 0, -15760, 0, -59934, 0, -62840, 0, -66970, 0, -78278, 0, -274234, 0, 110924, 0, 114722, 0, 743650, 0, -91568, 0, 92540, 0, -103780, 0, 163738, 0, -9856, 0, -101070, 0, -276080, 0, -69070, 0, 432816, 0, 107934, 0, 214160, 0, -171068, 0, -161504, 0, 5180, 0, -12392, 0, 457078, 0, 707668, 0, 511534, 0, 156342, 0, 1992198, 0, 443334, 0, -108888, 0, -670786, 0, 160360, 0, -29702, 0, -111474, 0, -251688, 0, 672032, 0, 423334, 0, -373298, 0, 475072, 0, 16856, 0, 119838, 0, -908810, 0, 507802, 0, -659154, 0, 613446, 0, -109164, 0, -409538, 0, 552198, 0, -210200, 0, 1177132, 0, 892386, 0, 3740558, 0, -450358, 0, -294206, 0, -463434, 0, 602248, 0, 69622, 0, -529008, 0, -1030916, 0, 204074, 0, -219566, 0, 1234322, 0, 1287886, 0, 284500, 0, -850710, 0, 247226, 0, 1494408, 0, 413996, 0, -283314, 0, 1072048, 0, -203142, 0, -754374, 0, 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0, 14196498, 0, 6033458, 0, -662068, 0, 15331824, 0, 1128172, 0, 10328648, 0, 19137570, 0, -6969790, 0, -161214, 0, -4210298, 0, 2203162, 0, 15512818, 0, 1689786, 0, 4954772, 0, 2789290, 0, 5742268, 0, 13020538, 0, -2203930, 0, 15009644, 0, 932996, 0, -17009272, 0, 4988510, 0, 18929462, 0, -13625228, 0, 27552150, 0, 16380746, 0, -20175968, 0, 1898668, 0, 8268932, 0, 609580, 0, -20458764, 0, -10469438, 0, 1762740, 0, 14849558, 0, 3733944, 0, -14761572, 0, 10128074, 0, -2605232, 0, -36408594, 0, 494236, 0, -16828824, 0, 3100896, 0, -1686132, 0, -12569602, 0, 23399368, 0, 14942748, 0, -16260320, 0, -2832318, 0, 3376420, 0, -6700836, 0, -8945360, 0, -22774954, 0, -3995062, 0, -2121442, 0, 18561716, 0, -15665554, 0, -7720892, 0, 8510836, 0, 1476512, 0, 15326894, 0, 13020078, 0, 3080202, 0, -5092268, 0, 25017220, 0, 1619004, 0, -5394364, 0, 15139852, 0, -1745752, 0, -9125584, 0, -11871260, 0, -102768, 0, -392840, 0, 29980872, 0, -4783710, 0, 18815942, 0, 13715776, 0, 6444424, 0, 17880506, 0, 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-141653562, 0, -19172630, 0, -55653642, 0, 98746604, 0, -98644882, 0, -132702674, 0, 4870344, 0, 93385292, 0, -48649120, 0, 110236182, 0, 43340, 0, -80989028, 0, 50591388, 0, -82667820, 0, 23401014, 0, 70633446, 0, 27665640, 0, -72109064, 0, -49512072, 0, -72790762, 0, -54544008, 0, -4039536, 0, 13423150, 0, 22671896, 0, 102732714, 0, -28604046, 0, -29423570, 0, 1867772, 0, -11166620, 0, 8238124, 0, 36771244, 0, 115177016, 0, 54242944, 0, -20617942, 0, 21006318, 0, -29602390, 0, 11727608, 0, 76683032, 0, -40766136, 0, -67632808, 0, -56426562, 0, 98413436, 0, 48230378, 0, 12175188, 0, 68578414, 0, -179086440, 0, -13967564, 0, 206392504, 0, -169467826, 0, 106888812, 0, -169622880, 0, 82677454, 0, 107809394, 0, 31033710, 0, -78714470, 0, -57953858, 0, -160766660, 0, -133686604, 0, 136449376, 0, -167339140, 0, -98743210, 0, 261572, 0, -2935306, 0, 80619694, 0, 20335496, 0, 1496812, 0, -101838910, 0, 211432580, 0, -42443438, 0, -18754590, 0, -54829902, 0, 165942618, 0, -57280372, 0, -39680064, 0, -301735848, 0, -32803576, 0, -14230108, 0, -64253990, 0, -14343212, 0, -52801598, 0, 169049806, 0, -44403590, 0, -36140038, 0, -171208556, 0, -51257206, 0, 2175850, 0, -267718880, 0], 'weight': 6, '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

  
  {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 49, 'source_embedding_index': 18, 'source_hecke_orbit_code': 100664324, 'source_is_minimal': True, 'source_label': '1028.6.a.a.1.18', 'source_level': 1028, 'target_conrey_index': 1, 'target_dim': 49, 'target_embedding_index': 18, 'target_hecke_orbit_code': 100664324, 'target_is_minimal': True, 'target_label': '1028.6.a.a.1.18', 'target_level': 1028, 'twist_class_label': '1028.6.a.a.1.18', 'twist_class_level': 1028, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
• hecke_orbit_code 100664324 does not appear in mf_hecke_charpolys
• 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': 1, 'label': '1028.6.a.a', 'level': 1028, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 13502000
    {'hecke_orbit_code': 100664324, 'n': 1, 'trace_an': 49}
  • id: 13502001
    {'hecke_orbit_code': 100664324, 'n': 2, 'trace_an': 0}
  • id: 13502002
    {'hecke_orbit_code': 100664324, 'n': 3, 'trace_an': -27}
  • id: 13502003
    {'hecke_orbit_code': 100664324, 'n': 4, 'trace_an': 0}
  • id: 13502004
    {'hecke_orbit_code': 100664324, 'n': 5, 'trace_an': -89}
  • id: 13502005
    {'hecke_orbit_code': 100664324, 'n': 6, 'trace_an': 0}
  • id: 13502006
    {'hecke_orbit_code': 100664324, 'n': 7, 'trace_an': 88}
  • id: 13502007
    {'hecke_orbit_code': 100664324, 'n': 8, 'trace_an': 0}
  • id: 13502008
    {'hecke_orbit_code': 100664324, 'n': 9, 'trace_an': 3430}
  • id: 13502009
    {'hecke_orbit_code': 100664324, 'n': 10, 'trace_an': 0}
  • id: 13502010
    {'hecke_orbit_code': 100664324, 'n': 11, 'trace_an': -484}
  • id: 13502011
    {'hecke_orbit_code': 100664324, 'n': 12, 'trace_an': 0}
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