Embedded newform data - 480.4.h.b.191.13

Formats: - HTML - YAML - JSON - 2025-01-30T23:12:08.232857

• 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': 7680, 'analytic_conductor': 28.320916802755495, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 12, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': 1, 'char_values': [480, 2, [31, 421, 161, 97], [1, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 191, 'dim': 24, 'has_non_self_twist': 1, 'hecke_orbit': 2, 'hecke_orbit_code': 4504080730816992, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 12, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '480.4.h.b', 'level': 480, '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, 3, 5], 'level_radical': 30, 'minimal_twist': '480.4.h.a', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '480.4.h', 'trace_display': [0, 0, 0, 0], 'traces': [24, 0, 0, 0, 0, 0, 0, 0, 20, 0, 72, 0, -72, 0, 20, 0, 0, 0, 0, 0, -68, 0, 96, 0, -600, 0, 168, 0, 0, 0, 0, 0, -80, 0, 0, 0, -504, 0, -456, 0, 0, 0, 0, 0, -220, 0, 432, 0, -816, 0, 1240, 0, 0, 0, 0, 0, 40, 0, -2184, 0, -1080, 0, -1720, 0, 0, 0, 0, 0, -1548, 0, 816, 0, -1440, 0, 0, 0, 0, 0, 0, 0, -2304, 0, -2016, 0, 0, 0, -2144, 0, 0, 0, 0, 0, -112, 0, 1800, 0, 720, 0, 3160, 0, 0, 0, 0, 0, 60, 0, -2784, 0, -5880, 0, -5096, 0, 0, 0, 0, 0, -1264, 0, 3168, 0, 168, 0, 4120, 0, 0, 0, 0, 0, -3724, 0, -10056, 0, 6720, 0, -1460, 0, 0, 0, 0, 0, 4660, 0, 15360, 0, 360, 0, 16600, 0, 0, 0, 0, 0, 8184, 0, -1080, 0, -3096, 0, -17080, 0, 0, 0, 0, 0, -1560, 0, 24144, 0, -1320, 0, 19200, 0, 0, 0, 0, 0, -4072, 0, -23064, 0, 8448, 0, -20504, 0, 0, 0, 0, 0, 6836, 0, 13152, 0, 9984, 0, 4200, 0, 0, 0, 0, 0, 9764, 0, -35856, 0, -2520, 0, -19848, 0, 0, 0, 0, 0, -5016, 0, 9960, 0, -4272, 0, 25568, 0, 0, 0, 0, 0, -500, 0, -15360, 0, 17088, 0, -33632, 0, 0, 0, 0, 0, 10312, 0, 22368, 0, 12024, 0, 28120, 0, 0, 0, 0, 0, 15572, 0, -32856, 0, -6144, 0, -3840, 0, 0, 0, 0, 0, -7904, 0, 38304, 0, 0, 0, 49808, 0, 0, 0, 0, 0, -23512, 0, -1800, 0, 21048, 0, -53760, 0, 0, 0, 0, 0, 2960, 0, 55440, 0, 19800, 0, 53264, 0, 0, 0, 0, 0, 14208, 0, -64656, 0, -19608, 0, -56912, 0, 0, 0, 0, 0, -20148, 0, 61680, 0, -21648, 0, 13880, 0, 0, 0, 0, 0, -16996, 0, -65904, 0, 1800, 0, -50232, 0, 0, 0, 0, 0, 34768, 0, 18120, 0, 5616, 0, 55096, 0, 0, 0, 0, 0, 2940, 0, -46080, 0, -8784, 0, -72168, 0, 0, 0, 0, 0, -26136, 0, 56016, 0, -39048, 0, 71312, 0, 0, 0, 0, 0, -7976, 0, -62016, 0, -2664, 0, -500, 0, 0, 0, 0, 0, -8844, 0, 63504, 0, 9120, 0, 87192, 0, 0, 0, 0, 0, 5760, 0, -10680, 0, -51720, 0, -85488, 0, 0, 0, 0, 0, 0, 0, 104064, 0, -2760, 0, 59736, 0, 0, 0, 0, 0, -28568, 0, -119544, 0, 15336, 0, -70968, 0, 0, 0, 0, 0, 37520, 0, 62592, 0, 5904, 0, 15160, 0, 0, 0, 0, 0, 18588, 0, -101280, 0, -5520, 0, -81064, 0, 0, 0, 0, 0, -42016, 0, 22320, 0, -42768, 0, 64392, 0, 0, 0, 0, 0, -8760, 0, -47136, 0, -11064, 0, -101000, 0, 0, 0, 0, 0, -1800, 0, 55776, 0, -3600, 0, 85976, 0, 0, 0, 0, 0, 5820, 0, -118104, 0, -33264, 0, -19040, 0, 0, 0, 0, 0, 2084, 0, 45840, 0, -9720, 0, 83920, 0, 0, 0, 0, 0, 760, 0, -7680, 0, 9696, 0, -82504, 0, 0, 0, 0, 0, 1700, 0, 148944, 0, 19248, 0, 87576, 0, 0, 0, 0, 0, 5096, 0, -63912, 0, 49584, 0, -90096, 0, 0, 0, 0, 0, -14792, 0, 92496, 0, -28320, 0, 26440, 0, 0, 0, 0, 0, -17648, 0, -93168, 0, 0, 0, -62688, 0, 0, 0, 0, 0, -8616, 0, -2400, 0, 27936, 0, 80640, 0, 0, 0, 0, 0, 11640, 0, -64944, 0, -18288, 0, -49064, 0, 0, 0, 0, 0, 13560, 0, 90576, 0, 39048, 0, 75960, 0, 0, 0, 0, 0, 7984, 0, -37776, 0, 81000, 0, -12440, 0, 0, 0, 0, 0, 56180, 0, 42144, 0, 15000, 0, 60992, 0, 0, 0, 0, 0, 10320, 0, -3360, 0, 68376, 0, -64672, 0, 0, 0, 0, 0, -18740, 0, -2208, 0, 13584, 0, 28304, 0, 0, 0, 0, 0, 54232, 0, 3624, 0, -55032, 0, -22896, 0, 0, 0, 0, 0, -88124, 0, 105840, 0, 40368, 0, -4200, 0, 0, 0, 0, 0, -30556, 0, 22320, 0, -9360, 0, -15760, 0, 0, 0, 0, 0, 44400, 0, -10680, 0, 67056, 0, 27816, 0, 0, 0, 0, 0, 7020, 0, -99984, 0, -36144, 0, 3376, 0, 0, 0, 0, 0, 64848, 0, -21696, 0, 15048, 0, 17688, 0, 0, 0, 0, 0, 7796, 0, 17904, 0, 124104, 0, 580, 0, 0, 0, 0, 0, 38992, 0, 73104, 0, -32400, 0, -33032, 0, 0, 0, 0, 0, 23104, 0, 9720, 0, -37608, 0, 15664, 0, 0, 0, 0, 0, -20360, 0, -117792, 0, -57168, 0, -13816, 0, 0, 0, 0, 0, -104200, 0, -95904, 0, -29856, 0, -37024, 0, 0, 0, 0, 0, 59924, 0, -60288, 0, 22560, 0, -9760, 0, 0, 0, 0, 0, 76336, 0, 154416, 0, -6840, 0, -12280, 0, 0, 0, 0, 0, 67568, 0, 21480, 0, -59952, 0, -30672, 0, 0, 0, 0, 0, 2000, 0, 60336, 0, 88008, 0, 75080, 0, 0, 0, 0, 0, 25520, 0, -28464, 0, 66120, 0, -41688, 0, 0, 0, 0, 0, 10364, 0, -85392, 0, -47640, 0, -8680, 0, 0, 0, 0, 0, -188968, 0, -106032, 0, 12240, 0, -103904, 0, 0, 0, 0, 0, 1608, 0, 0, 0, -37272, 0, 140264, 0, 0, 0, 0, 0, 25840, 0, 31200, 0, 72888, 0, -58744, 0, 0, 0, 0, 0, 87496, 0, 264912, 0, -37536, 0, 110744, 0, 0, 0, 0, 0, 39600, 0, -205152, 0, -134880, 0, -18480, 0, 0, 0, 0, 0, -74932, 0, 9120, 0, 12600, 0, 136968, 0, 0, 0, 0, 0, -51304, 0, -88560, 0, 25584, 0, -112576, 0, 0, 0, 0, 0, -15140, 0, 74688, 0, -146064, 0, 140328, 0, 0, 0, 0, 0, -255968, 0, 78432, 0, -160200, 0, -218744, 0, 0, 0, 0, 0, -101376, 0, 275112, 0, -159552, 0, 11400, 0, 0, 0, 0, 0, 134088, 0, -222960, 0, 48480, 0, -191048, 0, 0, 0, 0, 0, -76752, 0, -20520, 0, 47832, 0, 249144, 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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.1908815239621087, -0.9816130825380757], [0.0, 0.0], [0.0, 0.4472135954999579], [0.0, 0.0], [0.0, 0.4083139846786803], [0.0, 0.0], [-0.9271284876198058, -0.37474360227202214], [0.0, 0.0], [-0.09871916681220191, 0.0], [0.0, 0.0], [0.00707581642300014, 0.0], [0.0, 0.0], [0.4389907160316498, 0.08536481264560601], [0.0, 0.0], [0.0, 0.0322642949397285], [0.0, 0.0], [0.0, 1.2885725125392855], [0.0, 0.0], [0.40080634914384394, 0.07793959565050759], [0.0, 0.0], [1.4842029518484914, 0.0], [0.0, 0.0], [-0.2, 0.0], [0.0, 0.0], [-0.5448249212132158, 0.8385498227446078], [0.0, 0.0], [0.0, -0.2521351385513071], [0.0, 0.0], [0.0, 1.2248154343611792], [0.0, 0.0], [-0.018843665005382728, 0.09690402564011602], [0.0, 0.0], [-0.18260356518106735, 0.0], [0.0, 0.0], [0.13687300464448013, 0.0], [0.0, 0.0], [0.0013506426220983834, -0.006945713970454707], [0.0, 0.0], [0.0, 1.0225812788298625], [0.0, 0.0], [0.0, 0.719274797007604], [0.0, 0.0], [0.16759043376267724, -0.4146244644388916], [0.0, 0.0], [0.04293774185873484, 0.0], [0.0, 0.0], [0.8332796899158185, 0.0], [0.0, 0.0], [0.03167105401170453, 0.006158657787658329], [0.0, 0.0], [0.0, -0.5762247117234954], [0.0, 0.0], [0.0, -0.04414855353484494], [0.0, 0.0], [1.2648796361075212, 0.24596468492918228], [0.0, 0.0], [-0.975841506897034, 0.0], [0.0, 0.0], [1.2620977958569435, 0.0], [0.0, 0.0], [0.1530130534765319, -0.3785595270891614], [0.0, 0.0], [0.0, 0.0031644013036275435], [0.0, 0.0], [0.0, 0.6328724921310451], [0.0, 0.0], [0.2833069213179003, -1.4569130346761088], [0.0, 0.0], [1.0602051862823119, 0.0], [0.0, 0.0], [0.995095745965905, 0.0], [0.0, 0.0], [-0.03817630479242174, 0.19632261650761512], [0.0, 0.0], [0.0, -0.0403084163652495], [0.0, 0.0], [0.0, 1.3474566606726832], [0.0, 0.0], [0.719134465112377, 0.6948709384393159], [0.0, 0.0], [0.8662936016874352, 0.0], [0.0, 0.0], [-0.014429031346267081, 0.0], [0.0, 0.0], [-0.24749915056951335, -0.04812793949107092], [0.0, 0.0], [0.0, -1.0958498711052715], [0.0, 0.0], [0.0, 0.0028891547985300334], [0.0, 0.0], [1.2022948540634892, 0.23379463668317402], [0.0, 0.0], [-0.5762671463951086, 0.0], [0.0, 0.0], [0.27733432557597637, 0.0], [0.0, 0.0], [0.0915253518256841, 0.036994376184497205], [0.0, 0.0], [0.0, -1.319466730471835], [0.0, 0.0], [0.0, 0.07517228219416366], [0.0, 0.0], [-0.03485564680267639, 0.17924604849982995], [0.0, 0.0], [-0.483456873069926, 0.0], [0.0, 0.0], [-1.241112771331233, 0.0], [0.0, 0.0], [0.026126527715811147, -0.13435633200531646], [0.0, 0.0], [0.0, 1.8731085337712388], [0.0, 0.0], [0.0, 0.6637557385478148], [0.0, 0.0], [-0.006560190978931504, -0.002651616935370607], [0.0, 0.0], [-0.013173962829688725, 0.0], [0.0, 0.0], [-0.9902545261039046, 0.0], [0.0, 0.0], [1.0037791612579088, 0.19519187287816617], [0.0, 0.0], [0.0, -0.08944271909999159], [0.0, 0.0], [0.0, 0.9166336156055644], [0.0, 0.0], [0.7060495506825828, 0.13729626940034784], [0.0, 0.0], [0.2211203519349598, 0.0], [0.0, 0.0], [-0.5261421771423345, 0.0], [0.0, 0.0], [-0.37501088123546844, -0.24365311193374356], [0.0, 0.0], [0.0, 1.4905325382530612], [0.0, 0.0], [0.0, -0.05094429962492174], [0.0, 0.0], [0.008196021601486933, -0.04214824914317687], [0.0, 0.0], [-0.0006985187017946687, 0.0], [0.0, 0.0], [0.1127582618634101, 0.0], [0.0, 0.0], [0.15905769709780482, -0.8179582450346383], [0.0, 0.0], [0.0, -1.970791417209562], [0.0, 0.0], [0.0, 0.9207884806072032], [0.0, 0.0], [0.012090838110480834, -0.02991314697158984], [0.0, 0.0], [-0.5477541142245057, 0.0], [0.0, 0.0], [-0.355156502733109, 0.0], [0.0, 0.0], [-0.5656297155095144, -0.10999065111840757], [0.0, 0.0], [0.0, 0.606020821341117], [0.0, 0.0], [0.0, 0.6449857231070061], [0.0, 0.0], [-0.0433367977249364, -0.008427143179453943], [0.0, 0.0], [-0.14327119186001394, 0.0], [0.0, 0.0], [-0.999949932821948, 0.0], [0.0, 0.0], [0.4828843051376823, -1.1946722847390012], [0.0, 0.0], [0.0, -0.3072499038233653], [0.0, 0.0], [0.0, -0.08166279693573605], [0.0, 0.0], [-0.18627011398198645, 0.9578987896537984], [0.0, 0.0], [0.7242858472965062, 0.0], [0.0, 0.0], [-0.639791890882799, 0.0], [0.0, 0.0], [0.24091115066239172, -1.2388917078556452], [0.0, 0.0], [0.0, 0.0612114685339404], [0.0, 0.0], [0.0, -0.00318510431423314], [0.0, 0.0], [-0.34239161947645186, -0.2224596345328162], [0.0, 0.0], [0.03501927915400646, 0.0], [0.0, 0.0], [-1.124787678270298, 0.0], [0.0, 0.0], [0.0031062177180413383, 0.000604025743264109], [0.0, 0.0], [0.0, 0.5361149125697611], [0.0, 0.0], [0.0, -0.18775703838553365], [0.0, 0.0], [0.6212359178543092, 0.12080366577167155], [0.0, 0.0], [0.10295030309939533, 0.0], [0.0, 0.0], [-0.45731225039644785, 0.0], [0.0, 0.0], [-1.3760468380681434, -0.5561955606784723], [0.0, 0.0], [0.0, -0.1272068048149839], [0.0, 0.0], [0.0, -1.0521054358935018], [0.0, 0.0], [0.20237358167009903, -1.040711281029435], [0.0, 0.0], [-0.321669468122273, 0.0], [0.0, 0.0], [-0.5001092704999617, 0.0], [0.0, 0.0], [0.18994539247818332, -0.9767990026181178], [0.0, 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-0.4798821924183552, 0.10489944706630788, -0.23909947217890962, 0.08541621356550798, 0.05854980305516439, -0.24658286053436457, -0.45348616883485743, -0.33112225030879294, -0.14131235892508986, 0.051243167911476525, -0.16107670307076638, -0.1671169423496344, 0.11765409845866519, -0.17870158211577744, -0.40770896938364093, -0.22785908876449473, -0.38533460866746005, 0.0059834295281021915, -0.2888571571183207, -0.3565466002646767, 0.1930019887700577, 0.07577374281245369, -0.23236775484398473, 0.13383881813425852, -0.49594554292302945, -0.277233618045807, 0.07614597231647324, -0.27841314294518793, 0.05226041600948092, -0.2614109329231874, -0.47545262033043345, -0.191022614567515, -0.3018239784025943, -0.24721311189302428, -0.34505974962367386, 0.04319085228383015, -0.4850367355058272, -0.41183572561858683, -0.3413618256679756, -0.37639184434471373, -0.33297401139801863, -0.45884005725158966, -0.10059781276854135, -0.27787483976570754, -0.4054823282763942, 0.1323136515873151, 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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

  
  {'Nk2': 7680, 'analytic_conductor': 28.320916802755495, 'char_conductor': 12, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': 1, 'char_values': [480, 2, [31, 421, 161, 97], [1, 2, 1, 2]], 'conrey_index': 191, 'cusp_dim': 272, 'dim': 48, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_orbit_code': 481103446496, 'hecke_orbit_dims': [24, 24], 'label': '480.4.h', 'level': 480, '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, 3, 5], 'level_radical': 30, 'mf_dim': 304, 'mf_new_dim': 48, 'num_forms': 2, 'prim_orbit_index': 2, 'relative_dim': 48, 'sturm_bound': 384, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, -1200, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, -1008, 0, 0, 0, 0, 0, 0, 0, -440, 0, 0, 0, -1632, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, -2160, 0, 0, 0, 0, 0, 0, 0, -3096, 0, 0, 0, -2880, 0, 0, 0, 0, 0, 0, 0, -4608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 1440, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, -11760, 0, 0, 0, 0, 0, 0, 0, -2528, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, -7448, 0, 0, 0, 13440, 0, 0, 0, 0, 0, 0, 0, 9320, 0, 0, 0, 720, 0, 0, 0, 0, 0, 0, 0, 16368, 0, 0, 0, -6192, 0, 0, 0, 0, 0, 0, 0, -3120, 0, 0, 0, -2640, 0, 0, 0, 0, 0, 0, 0, -8144, 0, 0, 0, 16896, 0, 0, 0, 0, 0, 0, 0, 13672, 0, 0, 0, 19968, 0, 0, 0, 0, 0, 0, 0, 19528, 0, 0, 0, -5040, 0, 0, 0, 0, 0, 0, 0, -10032, 0, 0, 0, -8544, 0, 0, 0, 0, 0, 0, 0, -1000, 0, 0, 0, 34176, 0, 0, 0, 0, 0, 0, 0, 20624, 0, 0, 0, 24048, 0, 0, 0, 0, 0, 0, 0, 31144, 0, 0, 0, -12288, 0, 0, 0, 0, 0, 0, 0, -15808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -47024, 0, 0, 0, 42096, 0, 0, 0, 0, 0, 0, 0, 5920, 0, 0, 0, 39600, 0, 0, 0, 0, 0, 0, 0, 28416, 0, 0, 0, -39216, 0, 0, 0, 0, 0, 0, 0, -40296, 0, 0, 0, -43296, 0, 0, 0, 0, 0, 0, 0, -33992, 0, 0, 0, 3600, 0, 0, 0, 0, 0, 0, 0, 69536, 0, 0, 0, 11232, 0, 0, 0, 0, 0, 0, 0, 5880, 0, 0, 0, -17568, 0, 0, 0, 0, 0, 0, 0, -52272, 0, 0, 0, -78096, 0, 0, 0, 0, 0, 0, 0, -15952, 0, 0, 0, -5328, 0, 0, 0, 0, 0, 0, 0, -17688, 0, 0, 0, 18240, 0, 0, 0, 0, 0, 0, 0, 11520, 0, 0, 0, -103440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5520, 0, 0, 0, 0, 0, 0, 0, -57136, 0, 0, 0, 30672, 0, 0, 0, 0, 0, 0, 0, 75040, 0, 0, 0, 11808, 0, 0, 0, 0, 0, 0, 0, 37176, 0, 0, 0, -11040, 0, 0, 0, 0, 0, 0, 0, -84032, 0, 0, 0, -85536, 0, 0, 0, 0, 0, 0, 0, -17520, 0, 0, 0, -22128, 0, 0, 0, 0, 0, 0, 0, -3600, 0, 0, 0, -7200, 0, 0, 0, 0, 0, 0, 0, 11640, 0, 0, 0, -66528, 0, 0, 0, 0, 0, 0, 0, 4168, 0, 0, 0, -19440, 0, 0, 0, 0, 0, 0, 0, 1520, 0, 0, 0, 19392, 0, 0, 0, 0, 0, 0, 0, 3400, 0, 0, 0, 38496, 0, 0, 0, 0, 0, 0, 0, 10192, 0, 0, 0, 99168, 0, 0, 0, 0, 0, 0, 0, -29584, 0, 0, 0, -56640, 0, 0, 0, 0, 0, 0, 0, -35296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -17232, 0, 0, 0, 55872, 0, 0, 0, 0, 0, 0, 0, 23280, 0, 0, 0, -36576, 0, 0, 0, 0, 0, 0, 0, 27120, 0, 0, 0, 78096, 0, 0, 0, 0, 0, 0, 0, 15968, 0, 0, 0, 162000, 0, 0, 0, 0, 0, 0, 0, 112360, 0, 0, 0, 30000, 0, 0, 0, 0, 0, 0, 0, 20640, 0, 0, 0, 136752, 0, 0, 0, 0, 0, 0, 0, -37480, 0, 0, 0, 27168, 0, 0, 0, 0, 0, 0, 0, 108464, 0, 0, 0, -110064, 0, 0, 0, 0, 0, 0, 0, -176248, 0, 0, 0, 80736, 0, 0, 0, 0, 0, 0, 0, -61112, 0, 0, 0, -18720, 0, 0, 0, 0, 0, 0, 0, 88800, 0, 0, 0, 134112, 0, 0, 0, 0, 0, 0, 0, 14040, 0, 0, 0, -72288, 0, 0, 0, 0, 0, 0, 0, 129696, 0, 0, 0, 30096, 0, 0, 0, 0, 0, 0, 0, 15592, 0, 0, 0, 248208, 0, 0, 0, 0, 0, 0, 0, 77984, 0, 0, 0, -64800, 0, 0, 0, 0, 0, 0, 0, 46208, 0, 0, 0, -75216, 0, 0, 0, 0, 0, 0, 0, -40720, 0, 0, 0, -114336, 0, 0, 0, 0, 0, 0, 0, -208400, 0, 0, 0, -59712, 0, 0, 0, 0, 0, 0, 0, 119848, 0, 0, 0, 45120, 0, 0, 0, 0, 0, 0, 0, 152672, 0, 0, 0, -13680, 0, 0, 0, 0, 0, 0, 0, 135136, 0, 0, 0, -119904, 0, 0, 0, 0, 0, 0, 0, 4000, 0, 0, 0, 176016, 0, 0, 0, 0, 0, 0, 0, 51040, 0, 0, 0, 132240, 0, 0, 0, 0, 0, 0, 0, 20728, 0, 0, 0, -95280, 0, 0, 0, 0, 0, 0, 0, -377936, 0, 0, 0, 24480, 0, 0, 0, 0, 0, 0, 0, 3216, 0, 0, 0, -74544, 0, 0, 0, 0, 0, 0, 0, 51680, 0, 0, 0, 145776, 0, 0, 0, 0, 0, 0, 0, 174992, 0, 0, 0, -75072, 0, 0, 0, 0, 0, 0, 0, 79200, 0, 0, 0, -269760, 0, 0, 0, 0, 0, 0, 0, -149864, 0, 0, 0, 25200, 0, 0, 0, 0, 0, 0, 0, -102608, 0, 0, 0, 51168, 0, 0, 0, 0, 0, 0, 0, -30280, 0, 0, 0, -292128, 0, 0, 0, 0, 0, 0, 0, -511936, 0, 0, 0, -320400, 0, 0, 0, 0, 0, 0, 0, -202752, 0, 0, 0, -319104, 0, 0, 0, 0, 0, 0, 0, 268176, 0, 0, 0, 96960, 0, 0, 0, 0, 0, 0, 0, -153504, 0, 0, 0, 95664, 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: 35688650
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 191, 'source_dim': 24, 'source_embedding_index': 13, 'source_hecke_orbit_code': 4504080730816992, 'source_is_minimal': True, 'source_label': '480.4.h.b.191.13', 'source_level': 480, 'target_conrey_index': 191, 'target_dim': 24, 'target_embedding_index': 13, 'target_hecke_orbit_code': 4504080730816992, 'target_is_minimal': True, 'target_label': '480.4.h.b.191.13', 'target_level': 480, 'twist_class_label': '480.4.h.a.191.11', 'twist_class_level': 480, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 35688651
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 191, 'source_dim': 24, 'source_embedding_index': 13, 'source_hecke_orbit_code': 4504080730816992, 'source_is_minimal': True, 'source_label': '480.4.h.b.191.13', 'source_level': 480, 'target_conrey_index': 191, 'target_dim': 24, 'target_embedding_index': 11, 'target_hecke_orbit_code': 481103446496, 'target_is_minimal': True, 'target_label': '480.4.h.a.191.11', 'target_level': 480, 'twist_class_label': '480.4.h.a.191.11', 'twist_class_level': 480, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 35688652
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 191, 'source_dim': 24, 'source_embedding_index': 13, 'source_hecke_orbit_code': 4504080730816992, 'source_is_minimal': True, 'source_label': '480.4.h.b.191.13', 'source_level': 480, 'target_conrey_index': 191, 'target_dim': 24, 'target_embedding_index': 12, 'target_hecke_orbit_code': 481103446496, 'target_is_minimal': True, 'target_label': '480.4.h.a.191.12', 'target_level': 480, 'twist_class_label': '480.4.h.a.191.11', 'twist_class_level': 480, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 35688653
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 191, 'source_dim': 24, 'source_embedding_index': 13, 'source_hecke_orbit_code': 4504080730816992, 'source_is_minimal': True, 'source_label': '480.4.h.b.191.13', 'source_level': 480, 'target_conrey_index': 191, 'target_dim': 24, 'target_embedding_index': 13, 'target_hecke_orbit_code': 18014879612928960, 'target_is_minimal': False, 'target_label': '960.4.h.e.191.13', 'target_level': 960, 'twist_class_label': '480.4.h.a.191.11', 'twist_class_level': 480, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 35688654
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 191, 'source_dim': 24, 'source_embedding_index': 13, 'source_hecke_orbit_code': 4504080730816992, 'source_is_minimal': True, 'source_label': '480.4.h.b.191.13', 'source_level': 480, 'target_conrey_index': 191, 'target_dim': 24, 'target_embedding_index': 12, 'target_hecke_orbit_code': 9007680358187968, 'target_is_minimal': False, 'target_label': '960.4.h.c.191.12', 'target_level': 960, 'twist_class_label': '480.4.h.a.191.11', 'twist_class_level': 480, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 35688655
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 191, 'source_dim': 24, 'source_embedding_index': 13, 'source_hecke_orbit_code': 4504080730816992, 'source_is_minimal': True, 'source_label': '480.4.h.b.191.13', 'source_level': 480, 'target_conrey_index': 191, 'target_dim': 24, 'target_embedding_index': 14, 'target_hecke_orbit_code': 4504080730816992, 'target_is_minimal': True, 'target_label': '480.4.h.b.191.14', 'target_level': 480, 'twist_class_label': '480.4.h.a.191.11', 'twist_class_level': 480, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 35688656
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 191, 'source_dim': 24, 'source_embedding_index': 13, 'source_hecke_orbit_code': 4504080730816992, 'source_is_minimal': True, 'source_label': '480.4.h.b.191.13', 'source_level': 480, 'target_conrey_index': 191, 'target_dim': 24, 'target_embedding_index': 14, 'target_hecke_orbit_code': 18014879612928960, 'target_is_minimal': False, 'target_label': '960.4.h.e.191.14', 'target_level': 960, 'twist_class_label': '480.4.h.a.191.11', 'twist_class_level': 480, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 35688657
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 191, 'source_dim': 24, 'source_embedding_index': 13, 'source_hecke_orbit_code': 4504080730816992, 'source_is_minimal': True, 'source_label': '480.4.h.b.191.13', 'source_level': 480, 'target_conrey_index': 191, 'target_dim': 24, 'target_embedding_index': 11, 'target_hecke_orbit_code': 9007680358187968, 'target_is_minimal': False, 'target_label': '960.4.h.c.191.11', 'target_level': 960, 'twist_class_label': '480.4.h.a.191.11', 'twist_class_level': 480, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
• hecke_orbit_code 4504080730816992 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': 8, 'hecke_orbit': 2, 'label': '480.4.h.b', 'level': 480, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 23151091
    {'hecke_orbit_code': 4504080730816992, 'n': 1, 'trace_an': 24}
  • id: 23151092
    {'hecke_orbit_code': 4504080730816992, 'n': 2, 'trace_an': 0}
  • id: 23151093
    {'hecke_orbit_code': 4504080730816992, 'n': 3, 'trace_an': 0}
  • id: 23151094
    {'hecke_orbit_code': 4504080730816992, 'n': 4, 'trace_an': 0}
  • id: 23151095
    {'hecke_orbit_code': 4504080730816992, 'n': 5, 'trace_an': 0}
  • id: 23151096
    {'hecke_orbit_code': 4504080730816992, 'n': 6, 'trace_an': 0}
  • id: 23151097
    {'hecke_orbit_code': 4504080730816992, 'n': 7, 'trace_an': 0}
  • id: 23151098
    {'hecke_orbit_code': 4504080730816992, 'n': 8, 'trace_an': 0}
  • id: 23151099
    {'hecke_orbit_code': 4504080730816992, 'n': 9, 'trace_an': 20}
  • id: 23151100
    {'hecke_orbit_code': 4504080730816992, 'n': 10, 'trace_an': 0}
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